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# SLM-Lab Benchmarks
Reproducible deep RL algorithm validation across Gymnasium environments (Classic Control, Box2D, MuJoCo, Atari).
---
## Usage
After [installation](../README.md#quick-start), copy `SPEC_FILE` and `SPEC_NAME` from result tables below (Atari uses one shared spec file - see [Phase 4](#phase-4-atari)).
### Running Benchmarks
**Local** - runs on your machine (Classic Control: minutes):
```bash
slm-lab run SPEC_FILE SPEC_NAME train
```
**Remote** - cloud GPU via [dstack](https://dstack.ai), auto-syncs to HuggingFace:
```bash
source .env && slm-lab run-remote --gpu SPEC_FILE SPEC_NAME train -n NAME
```
Remote setup: `cp .env.example .env` then set `HF_TOKEN`. See [README](../README.md#cloud-training-dstack) for dstack config.
### Atari
All games share one spec file (54 tested, 5 hard exploration skipped). Use `-s env=ENV` to substitute. Runs take ~2-3 hours on GPU.
```bash
source .env && slm-lab run-remote --gpu -s env=ALE/Pong-v5 slm_lab/spec/benchmark/ppo/ppo_atari.json ppo_atari train -n pong
```
### Download Results
Trained models and metrics sync to [HuggingFace](https://huggingface.co/datasets/SLM-Lab/benchmark). Pull locally:
```bash
source .env && slm-lab pull SPEC_NAME
slm-lab list # see available experiments
```
### Benchmark Contribution
To ensure benchmark integrity, follow these steps when adding or updating results:
#### 1. Audit Spec Settings
* **Before Running**: Ensure `spec.json` matches the **Settings** line defined in each benchmark table.
* **Example**: `max_frame 3e5 | num_envs 4 | max_session 4 | log_frequency 500`
* **After Pulling**: Verify the downloaded `spec.json` matches these rules before using the data.
#### 2. Run Benchmark & Commit Specs
* **Run**: Execute the benchmark locally or remotely using the commands in [Usage](#usage).
* **Commit Specs**: Always commit the `spec.json` file used for the run to the repo.
* **Table Entry**: Ensure `BENCHMARKS.md` has an entry with the correct `SPEC_FILE` and `SPEC_NAME`.
#### 3. Record Scores & Plots
* **Score**: At run completion, extract `total_reward_ma` from logs (`trial_metrics`).
* **Link**: Add HuggingFace folder link: `[FOLDER](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/FOLDER)`
* **Pull data**: `source .env && uv run hf download SLM-Lab/benchmark --include "data/FOLDER/*" --local-dir hf_data --repo-type dataset`
* **Plot**: Generate with folders from table:
```bash
slm-lab plot -t "CartPole-v1" -f ppo_cartpole_2026...,dqn_cartpole_2026...
```
### Environment Settings
Standardized settings for fair comparison. The **Settings** line in each result table shows these values.
| Env Category | num_envs | max_frame | log_frequency | grace_period |
|--------------|----------|-----------|---------------|--------------|
| Classic Control | 4 | 2e5-3e5 | 500 | 1e4 |
| Box2D | 8 | 3e5 | 1000 | 5e4 |
| MuJoCo | 16 | 1e6-10e6 | 1e4 | 1e5-1e6 |
| Atari | 16 | 10e6 | 10000 | 5e5 |
### Hyperparameter Search
When algorithm fails to reach target, run search instead of train:
```bash
slm-lab run SPEC_FILE SPEC_NAME search # local
source .env && slm-lab run-remote --gpu SPEC_FILE SPEC_NAME search -n NAME # remote
```
| Stage | Mode | Config | Purpose |
|-------|------|--------|---------|
| ASHA | `search` | `max_session=1`, `search_scheduler` enabled | Wide exploration with early stopping |
| Multi | `search` | `max_session=4`, NO `search_scheduler` | Robust validation with averaging |
| Validate | `train` | Final spec | Confirmation run |
> Do not use search result in benchmark results - use final validation run with committed spec.
Search budget: ~3-4 trials per dimension (8 trials = 2-3 dims, 16 = 3-4 dims, 20+ = 5+ dims).
```json
{
"meta": {
"max_session": 1, "max_trial": 16,
"search_resources": {"cpu": 1, "gpu": 0.125},
"search_scheduler": {"grace_period": 1e5, "reduction_factor": 3}
},
"search": {
"agent.algorithm.gamma__uniform": [0.98, 0.999],
"agent.algorithm.lam__uniform": [0.9, 0.98],
"agent.net.optim_spec.lr__loguniform": [1e-4, 1e-3]
}
}
```
## Progress
| Phase | Category | Envs | REINFORCE | SARSA | DQN | DDQN+PER | A2C | PPO | SAC | Overall |
|-------|----------|------|-----------|-------|-----|----------|-----|-----|-----|---------|
| 1 | Classic Control | 3 | 🔄 | 🔄 | 🔄 | 🔄 | 🔄 | 🔄 | 🔄 | Rerun pending |
| 2 | Box2D | 2 | N/A | N/A | 🔄 | 🔄 | 🔄 | 🔄 | 🔄 | Rerun pending |
| 3 | MuJoCo | 11 | N/A | N/A | N/A | N/A | 🔄 | 🔄 | 🔄 | Rerun pending |
| 4 | Atari | 59 | N/A | N/A | N/A | Skip | 🔄 | ✅ | N/A | **54 games** |
**Legend**: ✅ Solved | ⚠️ Close (>80%) | 📊 Acceptable | ❌ Failed | 🔄 In progress/Pending | Skip Not started | N/A Not applicable
---
## Results
### Phase 1: Classic Control
#### 1.1 CartPole-v1
**Docs**: [CartPole](https://gymnasium.farama.org/environments/classic_control/cart_pole/) | State: Box(4) | Action: Discrete(2) | Target reward MA > 400
**Settings**: max_frame 2e5 | num_envs 4 | max_session 4 | log_frequency 500
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| REINFORCE | ✅ | 469.68 | [slm_lab/spec/benchmark/reinforce/reinforce_cartpole.json](../slm_lab/spec/benchmark/reinforce/reinforce_cartpole.json) | reinforce_cartpole | [reinforce_cartpole_2026_01_30_215510](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/reinforce_cartpole_2026_01_30_215510) |
| SARSA | ✅ | 421.58 | [slm_lab/spec/benchmark/sarsa/sarsa_cartpole.json](../slm_lab/spec/benchmark/sarsa/sarsa_cartpole.json) | sarsa_boltzmann_cartpole | [sarsa_boltzmann_cartpole_2026_01_30_215508](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/sarsa_boltzmann_cartpole_2026_01_30_215508) |
| DQN | ⚠️ | 188.07 | [slm_lab/spec/benchmark/dqn/dqn_cartpole.json](../slm_lab/spec/benchmark/dqn/dqn_cartpole.json) | dqn_boltzmann_cartpole | [dqn_boltzmann_cartpole_2026_01_30_215213](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/dqn_boltzmann_cartpole_2026_01_30_215213) |
| DDQN+PER | ✅ | 432.88 | [slm_lab/spec/benchmark/dqn/dqn_cartpole.json](../slm_lab/spec/benchmark/dqn/dqn_cartpole.json) | ddqn_per_boltzmann_cartpole | [ddqn_per_boltzmann_cartpole_2026_01_30_215454](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ddqn_per_boltzmann_cartpole_2026_01_30_215454) |
| A2C | ✅ | 499.73 | [slm_lab/spec/benchmark/a2c/a2c_gae_cartpole.json](../slm_lab/spec/benchmark/a2c/a2c_gae_cartpole.json) | a2c_gae_cartpole | [a2c_gae_cartpole_2026_01_30_215337](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_cartpole_2026_01_30_215337) |
| PPO | ✅ | 499.54 | [slm_lab/spec/benchmark/ppo/ppo_cartpole.json](../slm_lab/spec/benchmark/ppo/ppo_cartpole.json) | ppo_cartpole | [ppo_cartpole_2026_01_30_221924](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_cartpole_2026_01_30_221924) |
| SAC | ⚠️ | 359.69 | [slm_lab/spec/benchmark/sac/sac_cartpole.json](../slm_lab/spec/benchmark/sac/sac_cartpole.json) | sac_cartpole | [sac_cartpole_2026_01_30_221934](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/sac_cartpole_2026_01_30_221934) |

#### 1.2 Acrobot-v1
**Docs**: [Acrobot](https://gymnasium.farama.org/environments/classic_control/acrobot/) | State: Box(6) | Action: Discrete(3) | Target reward MA > -100
**Settings**: max_frame 3e5 | num_envs 4 | max_session 4 | log_frequency 500
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| DQN | ✅ | -94.81 | [slm_lab/spec/benchmark/dqn/dqn_acrobot.json](../slm_lab/spec/benchmark/dqn/dqn_acrobot.json) | dqn_boltzmann_acrobot | [dqn_boltzmann_acrobot_2026_01_30_215429](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/dqn_boltzmann_acrobot_2026_01_30_215429) |
| DDQN+PER | ✅ | -85.17 | [slm_lab/spec/benchmark/dqn/ddqn_per_acrobot.json](../slm_lab/spec/benchmark/dqn/ddqn_per_acrobot.json) | ddqn_per_acrobot | [ddqn_per_acrobot_2026_01_30_215436](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ddqn_per_acrobot_2026_01_30_215436) |
| A2C | ✅ | -83.75 | [slm_lab/spec/benchmark/a2c/a2c_gae_acrobot.json](../slm_lab/spec/benchmark/a2c/a2c_gae_acrobot.json) | a2c_gae_acrobot | [a2c_gae_acrobot_2026_01_30_215413](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_acrobot_2026_01_30_215413) |
| PPO | ✅ | -81.43 | [slm_lab/spec/benchmark/ppo/ppo_acrobot.json](../slm_lab/spec/benchmark/ppo/ppo_acrobot.json) | ppo_acrobot | [ppo_acrobot_2026_01_30_215352](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_acrobot_2026_01_30_215352) |
| SAC | ✅ | -97.08 | [slm_lab/spec/benchmark/sac/sac_acrobot.json](../slm_lab/spec/benchmark/sac/sac_acrobot.json) | sac_acrobot | [sac_acrobot_2026_01_30_215401](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/sac_acrobot_2026_01_30_215401) |

#### 1.3 Pendulum-v1
**Docs**: [Pendulum](https://gymnasium.farama.org/environments/classic_control/pendulum/) | State: Box(3) | Action: Box(1) | Target reward MA > -200
**Settings**: max_frame 3e5 | num_envs 4 | max_session 4 | log_frequency 500
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| A2C | ❌ | -553.00 | [slm_lab/spec/benchmark/a2c/a2c_gae_pendulum.json](../slm_lab/spec/benchmark/a2c/a2c_gae_pendulum.json) | a2c_gae_pendulum | [a2c_gae_pendulum_2026_01_30_215421](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_pendulum_2026_01_30_215421) |
| PPO | ✅ | -168.26 | [slm_lab/spec/benchmark/ppo/ppo_pendulum.json](../slm_lab/spec/benchmark/ppo/ppo_pendulum.json) | ppo_pendulum | [ppo_pendulum_2026_01_30_215944](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_pendulum_2026_01_30_215944) |
| SAC | ✅ | -152.33 | [slm_lab/spec/benchmark/sac/sac_pendulum.json](../slm_lab/spec/benchmark/sac/sac_pendulum.json) | sac_pendulum | [sac_pendulum_2026_01_30_215454](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/sac_pendulum_2026_01_30_215454) |

### Phase 2: Box2D
#### 2.1 LunarLander-v3 (Discrete)
**Docs**: [LunarLander](https://gymnasium.farama.org/environments/box2d/lunar_lander/) | State: Box(8) | Action: Discrete(4) | Target reward MA > 200
**Settings**: max_frame 3e5 | num_envs 8 | max_session 4 | log_frequency 1000
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| DQN | ⚠️ | 183.64 | [slm_lab/spec/benchmark/dqn/dqn_lunar.json](../slm_lab/spec/benchmark/dqn/dqn_lunar.json) | dqn_concat_lunar | [dqn_concat_lunar_2026_01_30_215529](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/dqn_concat_lunar_2026_01_30_215529) |
| DDQN+PER | ✅ | 261.49 | [slm_lab/spec/benchmark/dqn/ddqn_per_lunar.json](../slm_lab/spec/benchmark/dqn/ddqn_per_lunar.json) | ddqn_per_concat_lunar | [ddqn_per_concat_lunar_2026_01_30_215532](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ddqn_per_concat_lunar_2026_01_30_215532) |
| A2C | ❌ | 9.53 | [slm_lab/spec/benchmark/a2c/a2c_gae_lunar.json](../slm_lab/spec/benchmark/a2c/a2c_gae_lunar.json) | a2c_gae_lunar | [a2c_gae_lunar_2026_01_30_215529](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_lunar_2026_01_30_215529) |
| PPO | ⚠️ | 159.02 | [slm_lab/spec/benchmark/ppo/ppo_lunar.json](../slm_lab/spec/benchmark/ppo/ppo_lunar.json) | ppo_lunar | [ppo_lunar_2026_01_30_215550](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_lunar_2026_01_30_215550) |
| SAC | ❌ | -75.43 | [slm_lab/spec/benchmark/sac/sac_lunar.json](../slm_lab/spec/benchmark/sac/sac_lunar.json) | sac_lunar | [sac_lunar_2026_01_30_215552](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/sac_lunar_2026_01_30_215552) |

#### 2.2 LunarLander-v3 (Continuous)
**Docs**: [LunarLander](https://gymnasium.farama.org/environments/box2d/lunar_lander/) | State: Box(8) | Action: Box(2) | Target reward MA > 200
**Settings**: max_frame 3e5 | num_envs 8 | max_session 4 | log_frequency 1000
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| A2C | ❌ | -38.18 | [slm_lab/spec/benchmark/a2c/a2c_gae_lunar.json](../slm_lab/spec/benchmark/a2c/a2c_gae_lunar.json) | a2c_gae_lunar_continuous | [a2c_gae_lunar_continuous_2026_01_30_215630](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_lunar_continuous_2026_01_30_215630) |
| PPO | ⚠️ | 165.48 | [slm_lab/spec/benchmark/ppo/ppo_lunar.json](../slm_lab/spec/benchmark/ppo/ppo_lunar.json) | ppo_lunar_continuous | [ppo_lunar_continuous_2026_01_31_104549](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_lunar_continuous_2026_01_31_104549) |
| SAC | ✅ | 208.60 | [slm_lab/spec/benchmark/sac/sac_lunar.json](../slm_lab/spec/benchmark/sac/sac_lunar.json) | sac_lunar_continuous | [sac_lunar_continuous_2026_01_31_104537](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/sac_lunar_continuous_2026_01_31_104537) |

### Phase 3: MuJoCo
**Docs**: [MuJoCo environments](https://gymnasium.farama.org/environments/mujoco/) | State/Action: Continuous | Target: Practical baselines (no official "solved" threshold)
**Settings**: max_frame 4e6-10e6 | num_envs 16 | max_session 4 | log_frequency 1e4
**Algorithm: PPO only** - SAC omitted (off-policy = heavy compute for systematic benchmarking). Network: MLP [256,256] tanh, orthogonal init.
**Spec Variants**: Two unified specs in [ppo_mujoco.json](../slm_lab/spec/benchmark/ppo/ppo_mujoco.json), plus individual specs for edge cases.
| SPEC_NAME | Envs | Key Config |
|-----------|------|------------|
| ppo_mujoco | HalfCheetah, Walker, Humanoid, HumanoidStandup | gamma=0.99, lam=0.95 |
| ppo_mujoco_longhorizon | Reacher, Pusher | gamma=0.997, lam=0.97 |
| Individual specs | Hopper, Swimmer, Ant, IP, IDP | See spec files for tuned hyperparams |
**Reproduce**: Copy `ENV`, `SPEC_FILE`, `SPEC_NAME` from table. Use `-s max_frame=` for all specs, add `-s env=` for unified specs:
```bash
# Unified specs (ppo_mujoco.json)
source .env && slm-lab run-remote --gpu -s env=ENV -s max_frame=MAX_FRAME \
slm_lab/spec/benchmark/ppo/ppo_mujoco.json SPEC_NAME train -n NAME
# Individual specs (env hardcoded)
source .env && slm-lab run-remote --gpu -s max_frame=MAX_FRAME \
slm_lab/spec/benchmark/ppo/SPEC_FILE SPEC_NAME train -n NAME
```
| ENV | MAX_FRAME | SPEC_FILE | SPEC_NAME |
|-----|-----------|-----------|-----------|
| HalfCheetah-v5 | 10e6 | ppo_mujoco.json | ppo_mujoco |
| Walker2d-v5 | 10e6 | ppo_mujoco.json | ppo_mujoco |
| Humanoid-v5 | 10e6 | ppo_mujoco.json | ppo_mujoco |
| HumanoidStandup-v5 | 4e6 | ppo_mujoco.json | ppo_mujoco |
| Hopper-v5 | 4e6 | ppo_hopper.json | ppo_hopper |
| Swimmer-v5 | 4e6 | ppo_swimmer.json | ppo_swimmer |
| Ant-v5 | 10e6 | ppo_ant.json | ppo_ant |
| Reacher-v5 | 4e6 | ppo_mujoco.json | ppo_mujoco_longhorizon |
| Pusher-v5 | 4e6 | ppo_mujoco.json | ppo_mujoco_longhorizon |
| InvertedPendulum-v5 | 4e6 | ppo_inverted_pendulum.json | ppo_inverted_pendulum |
| InvertedDoublePendulum-v5 | 10e6 | ppo_inverted_double_pendulum.json | ppo_inverted_double_pendulum |
#### 3.1 Hopper-v5
**Docs**: [Hopper](https://gymnasium.farama.org/environments/mujoco/hopper/) | State: Box(11) | Action: Box(3) | Target reward MA ~ 2000
**Settings**: max_frame 4e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 1972.38 | [slm_lab/spec/benchmark/ppo/ppo_hopper.json](../slm_lab/spec/benchmark/ppo/ppo_hopper.json) | ppo_hopper | [ppo_hopper_2026_01_31_105438](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_hopper_2026_01_31_105438) |

#### 3.2 HalfCheetah-v5
**Docs**: [HalfCheetah](https://gymnasium.farama.org/environments/mujoco/half_cheetah/) | State: Box(17) | Action: Box(6) | Target reward MA > 5000
**Settings**: max_frame 10e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 5851.70 | [slm_lab/spec/benchmark/ppo/ppo_mujoco.json](../slm_lab/spec/benchmark/ppo/ppo_mujoco.json) | ppo_mujoco | [ppo_mujoco_halfcheetah_2026_01_30_230302](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_mujoco_halfcheetah_2026_01_30_230302) |

#### 3.3 Walker2d-v5
**Docs**: [Walker2d](https://gymnasium.farama.org/environments/mujoco/walker2d/) | State: Box(17) | Action: Box(6) | Target reward MA > 3500
**Settings**: max_frame 10e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 4042.07 | [slm_lab/spec/benchmark/ppo/ppo_mujoco.json](../slm_lab/spec/benchmark/ppo/ppo_mujoco.json) | ppo_mujoco | [ppo_mujoco_walker2d_2026_01_30_222124](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_mujoco_walker2d_2026_01_30_222124) |

#### 3.4 Ant-v5
**Docs**: [Ant](https://gymnasium.farama.org/environments/mujoco/ant/) | State: Box(105) | Action: Box(8) | Target reward MA > 2000
**Settings**: max_frame 10e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 2514.64 | [slm_lab/spec/benchmark/ppo/ppo_ant.json](../slm_lab/spec/benchmark/ppo/ppo_ant.json) | ppo_ant | [ppo_ant_2026_01_31_042006](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_ant_2026_01_31_042006) |

#### 3.5 Swimmer-v5
**Docs**: [Swimmer](https://gymnasium.farama.org/environments/mujoco/swimmer/) | State: Box(8) | Action: Box(2) | Target reward MA > 200
**Settings**: max_frame 4e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 229.31 | [slm_lab/spec/benchmark/ppo/ppo_swimmer.json](../slm_lab/spec/benchmark/ppo/ppo_swimmer.json) | ppo_swimmer | [ppo_swimmer_2026_01_30_215922](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_swimmer_2026_01_30_215922) |

#### 3.6 Reacher-v5
**Docs**: [Reacher](https://gymnasium.farama.org/environments/mujoco/reacher/) | State: Box(10) | Action: Box(2) | Target reward MA > -10
**Settings**: max_frame 4e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | -5.08 | [slm_lab/spec/benchmark/ppo/ppo_mujoco.json](../slm_lab/spec/benchmark/ppo/ppo_mujoco.json) | ppo_mujoco_longhorizon | [ppo_mujoco_longhorizon_reacher_2026_01_30_215805](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_mujoco_longhorizon_reacher_2026_01_30_215805) |

#### 3.7 Pusher-v5
**Docs**: [Pusher](https://gymnasium.farama.org/environments/mujoco/pusher/) | State: Box(23) | Action: Box(7) | Target reward MA > -50
**Settings**: max_frame 4e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | -49.09 | [slm_lab/spec/benchmark/ppo/ppo_mujoco.json](../slm_lab/spec/benchmark/ppo/ppo_mujoco.json) | ppo_mujoco_longhorizon | [ppo_mujoco_longhorizon_pusher_2026_01_30_215824](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_mujoco_longhorizon_pusher_2026_01_30_215824) |

#### 3.8 InvertedPendulum-v5
**Docs**: [InvertedPendulum](https://gymnasium.farama.org/environments/mujoco/inverted_pendulum/) | State: Box(4) | Action: Box(1) | Target reward MA ~1000
**Settings**: max_frame 4e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 944.87 | [slm_lab/spec/benchmark/ppo/ppo_inverted_pendulum.json](../slm_lab/spec/benchmark/ppo/ppo_inverted_pendulum.json) | ppo_inverted_pendulum | [ppo_inverted_pendulum_2026_01_30_230211](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_inverted_pendulum_2026_01_30_230211) |

#### 3.9 InvertedDoublePendulum-v5
**Docs**: [InvertedDoublePendulum](https://gymnasium.farama.org/environments/mujoco/inverted_double_pendulum/) | State: Box(9) | Action: Box(1) | Target reward MA ~8000
**Settings**: max_frame 10e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 7622.00 | [slm_lab/spec/benchmark/ppo/ppo_inverted_double_pendulum.json](../slm_lab/spec/benchmark/ppo/ppo_inverted_double_pendulum.json) | ppo_inverted_double_pendulum | [ppo_inverted_double_pendulum_2026_01_30_220651](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_inverted_double_pendulum_2026_01_30_220651) |

#### 3.10 Humanoid-v5
**Docs**: [Humanoid](https://gymnasium.farama.org/environments/mujoco/humanoid/) | State: Box(348) | Action: Box(17) | Target reward MA > 1000
**Settings**: max_frame 10e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 3774.08 | [slm_lab/spec/benchmark/ppo/ppo_mujoco.json](../slm_lab/spec/benchmark/ppo/ppo_mujoco.json) | ppo_mujoco | [ppo_mujoco_humanoid_2026_01_30_222339](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_mujoco_humanoid_2026_01_30_222339) |

#### 3.11 HumanoidStandup-v5
**Docs**: [HumanoidStandup](https://gymnasium.farama.org/environments/mujoco/humanoid_standup/) | State: Box(348) | Action: Box(17) | Target reward MA > 100000
**Settings**: max_frame 4e6 | num_envs 16 | max_session 4 | log_frequency 1e4
| Algorithm | Status | MA | SPEC_FILE | SPEC_NAME | HF Repo |
|-----------|--------|-----|-----------|-----------|---------|
| PPO | ✅ | 165841.17 | [slm_lab/spec/benchmark/ppo/ppo_mujoco.json](../slm_lab/spec/benchmark/ppo/ppo_mujoco.json) | ppo_mujoco | [ppo_mujoco_humanoidstandup_2026_01_30_215802](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_mujoco_humanoidstandup_2026_01_30_215802) |

### Phase 4: Atari
**Docs**: [Atari environments](https://ale.farama.org/environments/) | State: Box(84,84,4 after preprocessing) | Action: Discrete(4-18, game-dependent)
**Settings**: max_frame 10e6 | num_envs 16 | max_session 4 | log_frequency 10000
**Environment**:
- Gymnasium ALE v5 with `life_loss_info=true`
- v5 uses sticky actions (`repeat_action_probability=0.25`) per [Machado et al. (2018)](https://arxiv.org/abs/1709.06009) best practices
**Algorithm Specs** (all use Nature CNN [32,64,64] + 512fc):
- **DDQN+PER**: Skipped - off-policy variants ~6x slower (~230 fps vs ~1500 fps), not cost effective at 10M frames
- **A2C**: [a2c_gae_atari.json](../slm_lab/spec/benchmark/a2c/a2c_gae_atari.json) - RMSprop (lr=7e-4), training_frequency=32
- **PPO**: [ppo_atari.json](../slm_lab/spec/benchmark/ppo/ppo_atari.json) - AdamW (lr=2.5e-4), minibatch=256, horizon=128, epochs=4
**PPO Lambda Variants** (table shows best result per game):
| SPEC_NAME | Lambda | Best for |
|-----------|--------|----------|
| ppo_atari | 0.95 | Strategic games (default) |
| ppo_atari_lam85 | 0.85 | Mixed games |
| ppo_atari_lam70 | 0.70 | Action games |
**Reproduce**:
```bash
# A2C
source .env && slm-lab run-remote --gpu -s env=ENV -s max_frame=1e7 \
slm_lab/spec/benchmark/a2c/a2c_gae_atari.json a2c_gae_atari train -n NAME
# PPO
source .env && slm-lab run-remote --gpu -s env=ENV -s max_frame=1e7 \
slm_lab/spec/benchmark/ppo/ppo_atari.json SPEC_NAME train -n NAME
```
| ENV | Score | SPEC_NAME | HF Repo |
|-----|-------|-----------|---------|
| ALE/AirRaid-v5 | 5067 | a2c_gae_atari | [a2c_gae_atari_airraid_2026_02_01_082446](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_airraid_2026_02_01_082446) |
| | 8245 | ppo_atari | [ppo_atari_airraid_2026_01_06_113119](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_airraid_2026_01_06_113119) |
| ALE/Alien-v5 | 1488 | a2c_gae_atari | [a2c_gae_atari_alien_2026_02_01_000858](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_alien_2026_02_01_000858) |
| | 1453 | ppo_atari | [ppo_atari_alien_2026_01_06_112514](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_alien_2026_01_06_112514) |
| ALE/Amidar-v5 | 330 | a2c_gae_atari | [a2c_gae_atari_amidar_2026_02_01_082251](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_amidar_2026_02_01_082251) |
| | 580 | ppo_atari_lam85 | [ppo_atari_lam85_amidar_2026_01_07_223416](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_amidar_2026_01_07_223416) |
| ALE/Assault-v5 | 1646 | a2c_gae_atari | [a2c_gae_atari_assault_2026_02_01_082252](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_assault_2026_02_01_082252) |
| | 4293 | ppo_atari_lam85 | [ppo_atari_lam85_assault_2026_01_08_130044](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_assault_2026_01_08_130044) |
| ALE/Asterix-v5 | 2712 | a2c_gae_atari | [a2c_gae_atari_asterix_2026_02_01_082315](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_asterix_2026_02_01_082315) |
| | 3482 | ppo_atari_lam85 | [ppo_atari_lam85_asterix_2026_01_07_223445](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_asterix_2026_01_07_223445) |
| ALE/Asteroids-v5 | 2106 | a2c_gae_atari | [a2c_gae_atari_asteroids_2026_02_01_082328](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_asteroids_2026_02_01_082328) |
| | 1554 | ppo_atari_lam85 | [ppo_atari_lam85_asteroids_2026_01_07_224245](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_asteroids_2026_01_07_224245) |
| ALE/Atlantis-v5 | 873365 | a2c_gae_atari | [a2c_gae_atari_atlantis_2026_02_01_082330](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_atlantis_2026_02_01_082330) |
| | 792886 | ppo_atari | [ppo_atari_atlantis_2026_01_06_120440](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_atlantis_2026_01_06_120440) |
| ALE/BankHeist-v5 | 1099 | a2c_gae_atari | [a2c_gae_atari_bankheist_2026_02_01_082403](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_bankheist_2026_02_01_082403) |
| | 1045 | ppo_atari | [ppo_atari_bankheist_2026_01_06_121042](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_bankheist_2026_01_06_121042) |
| ALE/BattleZone-v5 | 2437 | a2c_gae_atari | [a2c_gae_atari_battlezone_2026_02_01_082425](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_battlezone_2026_02_01_082425) |
| | 26383 | ppo_atari_lam85 | [ppo_atari_lam85_battlezone_2026_01_08_094729](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_battlezone_2026_01_08_094729) |
| ALE/BeamRider-v5 | 2767 | a2c_gae_atari | [a2c_gae_atari_beamrider_2026_02_01_000921](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_beamrider_2026_02_01_000921) |
| | 2765 | ppo_atari | [ppo_atari_beamrider_2026_01_06_112533](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_beamrider_2026_01_06_112533) |
| ALE/Berzerk-v5 | 439 | a2c_gae_atari | [a2c_gae_atari_berzerk_2026_02_01_082540](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_berzerk_2026_02_01_082540) |
| | 1072 | ppo_atari | [ppo_atari_berzerk_2026_01_06_112515](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_berzerk_2026_01_06_112515) |
| ALE/Bowling-v5 | 23.96 | a2c_gae_atari | [a2c_gae_atari_bowling_2026_02_01_082529](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_bowling_2026_02_01_082529) |
| | 46.45 | ppo_atari | [ppo_atari_bowling_2026_01_06_113148](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_bowling_2026_01_06_113148) |
| ALE/Boxing-v5 | 1.80 | a2c_gae_atari | [a2c_gae_atari_boxing_2026_02_01_082539](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_boxing_2026_02_01_082539) |
| | 91.17 | ppo_atari | [ppo_atari_boxing_2026_01_06_112531](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_boxing_2026_01_06_112531) |
| ALE/Breakout-v5 | 273 | a2c_gae_atari | [a2c_gae_atari_breakout_2026_01_31_213610](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_breakout_2026_01_31_213610) |
| | 327 | ppo_atari_lam70 | [ppo_atari_lam70_breakout_2026_01_07_110559](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_breakout_2026_01_07_110559) |
| ALE/Carnival-v5 | 2170 | a2c_gae_atari | [a2c_gae_atari_carnival_2026_02_01_082726](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_carnival_2026_02_01_082726) |
| | 3967 | ppo_atari_lam70 | [ppo_atari_lam70_carnival_2026_01_07_144738](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_carnival_2026_01_07_144738) |
| ALE/Centipede-v5 | 1382 | a2c_gae_atari | [a2c_gae_atari_centipede_2026_02_01_082643](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_centipede_2026_02_01_082643) |
| | 4915 | ppo_atari_lam70 | [ppo_atari_lam70_centipede_2026_01_07_223557](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_centipede_2026_01_07_223557) |
| ALE/ChopperCommand-v5 | 2446 | a2c_gae_atari | [a2c_gae_atari_choppercommand_2026_02_01_082626](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_choppercommand_2026_02_01_082626) |
| | 5355 | ppo_atari | [ppo_atari_choppercommand_2026_01_07_110539](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_choppercommand_2026_01_07_110539) |
| ALE/CrazyClimber-v5 | 96943 | a2c_gae_atari | [a2c_gae_atari_crazyclimber_2026_02_01_082625](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_crazyclimber_2026_02_01_082625) |
| | 107370 | ppo_atari_lam85 | [ppo_atari_lam85_crazyclimber_2026_01_07_223609](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_crazyclimber_2026_01_07_223609) |
| ALE/Defender-v5 | 33149 | a2c_gae_atari | [a2c_gae_atari_defender_2026_02_01_082658](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_defender_2026_02_01_082658) |
| | 51439 | ppo_atari_lam70 | [ppo_atari_lam70_defender_2026_01_07_205238](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_defender_2026_01_07_205238) |
| ALE/DemonAttack-v5 | 2962 | a2c_gae_atari | [a2c_gae_atari_demonattack_2026_02_01_082717](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_demonattack_2026_02_01_082717) |
| | 16558 | ppo_atari_lam70 | [ppo_atari_lam70_demonattack_2026_01_07_111315](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_demonattack_2026_01_07_111315) |
| ALE/DoubleDunk-v5 | -1.69 | a2c_gae_atari | [a2c_gae_atari_doubledunk_2026_02_01_082901](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_doubledunk_2026_02_01_082901) |
| | -2.38 | ppo_atari | [ppo_atari_doubledunk_2026_01_07_110802](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_doubledunk_2026_01_07_110802) |
| ALE/ElevatorAction-v5 | 731 | a2c_gae_atari | [a2c_gae_atari_elevatoraction_2026_02_01_082908](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_elevatoraction_2026_02_01_082908) |
| | 5446 | ppo_atari | [ppo_atari_elevatoraction_2026_01_06_113129](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_elevatoraction_2026_01_06_113129) |
| ALE/Enduro-v5 | 681 | a2c_gae_atari | [a2c_gae_atari_enduro_2026_02_01_001123](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_enduro_2026_02_01_001123) |
| | 898 | ppo_atari_lam85 | [ppo_atari_lam85_enduro_2026_01_08_095448](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_enduro_2026_01_08_095448) |
| ALE/FishingDerby-v5 | -16.38 | a2c_gae_atari | [a2c_gae_atari_fishingderby_2026_02_01_082906](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_fishingderby_2026_02_01_082906) |
| | 27.10 | ppo_atari_lam85 | [ppo_atari_lam85_fishingderby_2026_01_08_094158](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_fishingderby_2026_01_08_094158) |
| ALE/Freeway-v5 | 23.13 | a2c_gae_atari | [a2c_gae_atari_freeway_2026_02_01_082931](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_freeway_2026_02_01_082931) |
| | 31.30 | ppo_atari | [ppo_atari_freeway_2026_01_06_182318](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_freeway_2026_01_06_182318) |
| ALE/Frostbite-v5 | 266 | a2c_gae_atari | [a2c_gae_atari_frostbite_2026_02_01_082915](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_frostbite_2026_02_01_082915) |
| | 301 | ppo_atari | [ppo_atari_frostbite_2026_01_06_112556](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_frostbite_2026_01_06_112556) |
| ALE/Gopher-v5 | 984 | a2c_gae_atari | [a2c_gae_atari_gopher_2026_02_01_133323](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_gopher_2026_02_01_133323) |
| | 6508 | ppo_atari_lam70 | [ppo_atari_lam70_gopher_2026_01_07_170451](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_gopher_2026_01_07_170451) |
| ALE/Gravitar-v5 | 270 | a2c_gae_atari | [a2c_gae_atari_gravitar_2026_02_01_133244](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_gravitar_2026_02_01_133244) |
| | 599 | ppo_atari | [ppo_atari_gravitar_2026_01_06_112548](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_gravitar_2026_01_06_112548) |
| ALE/Hero-v5 | 18680 | a2c_gae_atari | [a2c_gae_atari_hero_2026_02_01_175903](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_hero_2026_02_01_175903) |
| | 28238 | ppo_atari_lam85 | [ppo_atari_lam85_hero_2026_01_07_223619](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_hero_2026_01_07_223619) |
| ALE/IceHockey-v5 | -5.92 | a2c_gae_atari | [a2c_gae_atari_icehockey_2026_02_01_175745](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_icehockey_2026_02_01_175745) |
| | -3.93 | ppo_atari | [ppo_atari_icehockey_2026_01_06_183721](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_icehockey_2026_01_06_183721) |
| ALE/Jamesbond-v5 | 460 | a2c_gae_atari | [a2c_gae_atari_jamesbond_2026_02_01_175945](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_jamesbond_2026_02_01_175945) |
| | 662 | ppo_atari | [ppo_atari_jamesbond_2026_01_06_183717](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_jamesbond_2026_01_06_183717) |
| ALE/JourneyEscape-v5 | -965 | a2c_gae_atari | [a2c_gae_atari_journeyescape_2026_02_01_084415](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_journeyescape_2026_02_01_084415) |
| | -1252 | ppo_atari_lam85 | [ppo_atari_lam85_journeyescape_2026_01_08_094842](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_journeyescape_2026_01_08_094842) |
| ALE/Kangaroo-v5 | 322 | a2c_gae_atari | [a2c_gae_atari_kangaroo_2026_02_01_084415](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_kangaroo_2026_02_01_084415) |
| | 9912 | ppo_atari_lam85 | [ppo_atari_lam85_kangaroo_2026_01_07_110838](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_kangaroo_2026_01_07_110838) |
| ALE/Krull-v5 | 7519 | a2c_gae_atari | [a2c_gae_atari_krull_2026_02_01_084420](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_krull_2026_02_01_084420) |
| | 7841 | ppo_atari | [ppo_atari_krull_2026_01_07_110747](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_krull_2026_01_07_110747) |
| ALE/KungFuMaster-v5 | 23006 | a2c_gae_atari | [a2c_gae_atari_kungfumaster_2026_02_01_085101](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_kungfumaster_2026_02_01_085101) |
| | 29068 | ppo_atari_lam70 | [ppo_atari_lam70_kungfumaster_2026_01_07_111317](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_kungfumaster_2026_01_07_111317) |
| ALE/MsPacman-v5 | 2110 | a2c_gae_atari | [a2c_gae_atari_mspacman_2026_02_01_001100](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_mspacman_2026_02_01_001100) |
| | 2372 | ppo_atari_lam85 | [ppo_atari_lam85_mspacman_2026_01_07_223522](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_mspacman_2026_01_07_223522) |
| ALE/NameThisGame-v5 | 5412 | a2c_gae_atari | [a2c_gae_atari_namethisgame_2026_02_01_132733](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_namethisgame_2026_02_01_132733) |
| | 5993 | ppo_atari | [ppo_atari_namethisgame_2026_01_06_182952](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_namethisgame_2026_01_06_182952) |
| ALE/Phoenix-v5 | 5635 | a2c_gae_atari | [a2c_gae_atari_phoenix_2026_02_01_085101](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_phoenix_2026_02_01_085101) |
| | 15659 | ppo_atari_lam70 | [ppo_atari_lam70_phoenix_2026_01_07_110832](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_phoenix_2026_01_07_110832) |
| ALE/Pong-v5 | 10.17 | a2c_gae_atari | [a2c_gae_atari_pong_2026_01_31_213635](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_pong_2026_01_31_213635) |
| | 16.91 | ppo_atari_lam85 | [ppo_atari_lam85_pong_2026_01_08_094454](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_pong_2026_01_08_094454) |
| ALE/Pooyan-v5 | 2997 | a2c_gae_atari | [a2c_gae_atari_pooyan_2026_02_01_132748](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_pooyan_2026_02_01_132748) |
| | 5716 | ppo_atari_lam70 | [ppo_atari_lam70_pooyan_2026_01_07_224346](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_pooyan_2026_01_07_224346) |
| ALE/Qbert-v5 | 12619 | a2c_gae_atari | [a2c_gae_atari_qbert_2026_01_31_213720](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_qbert_2026_01_31_213720) |
| | 15094 | ppo_atari | [ppo_atari_qbert_2026_01_06_111801](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_qbert_2026_01_06_111801) |
| ALE/Riverraid-v5 | 6558 | a2c_gae_atari | [a2c_gae_atari_riverraid_2026_02_01_132507](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_riverraid_2026_02_01_132507) |
| | 9428 | ppo_atari_lam85 | [ppo_atari_lam85_riverraid_2026_01_07_204356](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_riverraid_2026_01_07_204356) |
| ALE/RoadRunner-v5 | 29810 | a2c_gae_atari | [a2c_gae_atari_roadrunner_2026_02_01_132509](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_roadrunner_2026_02_01_132509) |
| | 37015 | ppo_atari_lam85 | [ppo_atari_lam85_roadrunner_2026_01_07_145913](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_roadrunner_2026_01_07_145913) |
| ALE/Robotank-v5 | 2.80 | a2c_gae_atari | [a2c_gae_atari_robotank_2026_02_01_132434](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_robotank_2026_02_01_132434) |
| | 20.07 | ppo_atari | [ppo_atari_robotank_2026_01_06_183413](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_robotank_2026_01_06_183413) |
| ALE/Seaquest-v5 | 850 | a2c_gae_atari | [a2c_gae_atari_seaquest_2026_02_01_001001](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_seaquest_2026_02_01_001001) |
| | 1796 | ppo_atari | [ppo_atari_seaquest_2026_01_06_183440](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_seaquest_2026_01_06_183440) |
| ALE/Skiing-v5 | -14235 | a2c_gae_atari | [a2c_gae_atari_skiing_2026_02_01_132451](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_skiing_2026_02_01_132451) |
| | -19340 | ppo_atari | [ppo_atari_skiing_2026_01_06_183424](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_skiing_2026_01_06_183424) |
| ALE/Solaris-v5 | 2224 | a2c_gae_atari | [a2c_gae_atari_solaris_2026_02_01_212137](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_solaris_2026_02_01_212137) |
| | 2094 | ppo_atari | [ppo_atari_solaris_2026_01_06_192643](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_solaris_2026_01_06_192643) |
| ALE/SpaceInvaders-v5 | 784 | a2c_gae_atari | [a2c_gae_atari_spaceinvaders_2026_02_01_000950](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_spaceinvaders_2026_02_01_000950) |
| | 726 | ppo_atari | [ppo_atari_spaceinvaders_2026_01_07_102346](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_spaceinvaders_2026_01_07_102346) |
| ALE/StarGunner-v5 | 8665 | a2c_gae_atari | [a2c_gae_atari_stargunner_2026_02_01_132406](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_stargunner_2026_02_01_132406) |
| | 47495 | ppo_atari_lam70 | [ppo_atari_lam70_stargunner_2026_01_07_111404](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_stargunner_2026_01_07_111404) |
| ALE/Surround-v5 | -9.72 | a2c_gae_atari | [a2c_gae_atari_surround_2026_02_01_132215](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_surround_2026_02_01_132215) |
| | -2.52 | ppo_atari | [ppo_atari_surround_2026_01_07_102404](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_surround_2026_01_07_102404) |
| ALE/Tennis-v5 | -2873 | a2c_gae_atari | [a2c_gae_atari_tennis_2026_02_01_175829](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_tennis_2026_02_01_175829) |
| | -4.41 | ppo_atari_lam85 | [ppo_atari_lam85_tennis_2026_01_07_223532](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_tennis_2026_01_07_223532) |
| ALE/TimePilot-v5 | 3376 | a2c_gae_atari | [a2c_gae_atari_timepilot_2026_02_01_175930](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_timepilot_2026_02_01_175930) |
| | 4668 | ppo_atari | [ppo_atari_timepilot_2026_01_07_101010](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_timepilot_2026_01_07_101010) |
| ALE/Tutankham-v5 | 167 | a2c_gae_atari | [a2c_gae_atari_tutankham_2026_02_01_132347](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_tutankham_2026_02_01_132347) |
| | 217 | ppo_atari_lam85 | [ppo_atari_lam85_tutankham_2026_01_08_095251](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam85_tutankham_2026_01_08_095251) |
| ALE/UpNDown-v5 | 57099 | a2c_gae_atari | [a2c_gae_atari_upndown_2026_02_01_132435](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_upndown_2026_02_01_132435) |
| | 182472 | ppo_atari | [ppo_atari_upndown_2026_01_07_105708](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_upndown_2026_01_07_105708) |
| ALE/VideoPinball-v5 | 25310 | a2c_gae_atari | [a2c_gae_atari_videopinball_2026_02_01_083457](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_videopinball_2026_02_01_083457) |
| | 56746 | ppo_atari_lam70 | [ppo_atari_lam70_videopinball_2026_01_07_224359](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_lam70_videopinball_2026_01_07_224359) |
| ALE/WizardOfWor-v5 | 2682 | a2c_gae_atari | [a2c_gae_atari_wizardofwor_2026_02_01_132449](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_wizardofwor_2026_02_01_132449) |
| | 5814 | ppo_atari | [ppo_atari_wizardofwor_2026_01_06_221154](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_wizardofwor_2026_01_06_221154) |
| ALE/YarsRevenge-v5 | 24371 | a2c_gae_atari | [a2c_gae_atari_yarsrevenge_2026_02_01_132224](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_yarsrevenge_2026_02_01_132224) |
| | 17120 | ppo_atari | [ppo_atari_yarsrevenge_2026_01_06_221154](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_yarsrevenge_2026_01_06_221154) |
| ALE/Zaxxon-v5 | 29.46 | a2c_gae_atari | [a2c_gae_atari_zaxxon_2026_02_01_131758](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/a2c_gae_atari_zaxxon_2026_02_01_131758) |
| | 10756 | ppo_atari | [ppo_atari_zaxxon_2026_01_06_221154](https://huggingface.co/datasets/SLM-Lab/benchmark/tree/main/data/ppo_atari_zaxxon_2026_01_06_221154) |
**Training Curves** (A2C vs PPO):
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**Skipped** (hard exploration): Adventure, MontezumaRevenge, Pitfall, PrivateEye, Venture
<details>
<summary><b>PPO Lambda Comparison</b> (click to expand)</summary>
| ENV | ppo_atari | ppo_atari_lam85 | ppo_atari_lam70 |
|-----|-----------|-----------------|-----------------|
| ALE/AirRaid-v5 | **8245** | - | - |
| ALE/Alien-v5 | **1453** | 1353 | 1274 |
| ALE/Amidar-v5 | 574 | **580** | - |
| ALE/Assault-v5 | 4059 | **4293** | 3314 |
| ALE/Asterix-v5 | 2967 | **3482** | - |
| ALE/Asteroids-v5 | 1497 | **1554** | - |
| ALE/Atlantis-v5 | **792886** | 754k | 710k |
| ALE/BankHeist-v5 | **1045** | 1045 | - |
| ALE/BattleZone-v5 | 21270 | **26383** | 13857 |
| ALE/BeamRider-v5 | **2765** | - | - |
| ALE/Berzerk-v5 | **1072** | - | - |
| ALE/Bowling-v5 | **46.45** | - | - |
| ALE/Boxing-v5 | **91.17** | - | - |
| ALE/Breakout-v5 | 191 | 292 | **327** |
| ALE/Carnival-v5 | 3071 | 3013 | **3967** |
| ALE/Centipede-v5 | 3917 | - | **4915** |
| ALE/ChopperCommand-v5 | **5355** | - | - |
| ALE/CrazyClimber-v5 | 107183 | **107370** | - |
| ALE/Defender-v5 | 37162 | - | **51439** |
| ALE/DemonAttack-v5 | 7755 | - | **16558** |
| ALE/DoubleDunk-v5 | **-2.38** | - | - |
| ALE/ElevatorAction-v5 | **5446** | 363 | 3933 |
| ALE/Enduro-v5 | 414 | **898** | 872 |
| ALE/FishingDerby-v5 | 22.80 | **27.10** | - |
| ALE/Freeway-v5 | **31.30** | - | - |
| ALE/Frostbite-v5 | **301** | 275 | 267 |
| ALE/Gopher-v5 | 4172 | - | **6508** |
| ALE/Gravitar-v5 | **599** | 253 | 145 |
| ALE/Hero-v5 | 21052 | **28238** | - |
| ALE/IceHockey-v5 | **-3.93** | -5.58 | -7.36 |
| ALE/Jamesbond-v5 | **662** | - | - |
| ALE/JourneyEscape-v5 | -1582 | **-1252** | -1547 |
| ALE/Kangaroo-v5 | 2623 | **9912** | - |
| ALE/Krull-v5 | **7841** | - | - |
| ALE/KungFuMaster-v5 | 18973 | 28334 | **29068** |
| ALE/MsPacman-v5 | 2308 | **2372** | 2297 |
| ALE/NameThisGame-v5 | **5993** | - | - |
| ALE/Phoenix-v5 | 7940 | - | **15659** |
| ALE/Pong-v5 | 15.01 | **16.91** | 12.85 |
| ALE/Pooyan-v5 | 4704 | - | **5716** |
| ALE/Qbert-v5 | **15094** | - | - |
| ALE/Riverraid-v5 | 7319 | **9428** | - |
| ALE/RoadRunner-v5 | 24204 | **37015** | - |
| ALE/Robotank-v5 | **20.07** | 8.24 | 2.59 |
| ALE/Seaquest-v5 | **1796** | - | - |
| ALE/Skiing-v5 | **-19340** | -22980 | -29975 |
| ALE/Solaris-v5 | **2094** | - | - |
| ALE/SpaceInvaders-v5 | **726** | - | - |
| ALE/StarGunner-v5 | 31862 | - | **47495** |
| ALE/Surround-v5 | **-2.52** | - | -6.79 |
| ALE/Tennis-v5 | -7.66 | **-4.41** | - |
| ALE/TimePilot-v5 | **4668** | - | - |
| ALE/Tutankham-v5 | 203 | **217** | - |
| ALE/UpNDown-v5 | **182472** | - | - |
| ALE/VideoPinball-v5 | 31385 | - | **56746** |
| ALE/WizardOfWor-v5 | **5814** | 5466 | 4740 |
| ALE/YarsRevenge-v5 | **17120** | - | - |
| ALE/Zaxxon-v5 | **10756** | - | - |
**Legend**: **Bold** = Best score | - = Not tested
</details>
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