Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use cmjaramile/Atari_Space_Invaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use cmjaramile/Atari_Space_Invaders with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="cmjaramile/Atari_Space_Invaders", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Initial commit
Browse files- README.md +2 -2
- args.yml +1 -1
- config.yml +1 -1
- dqn-SpaceInvadersNoFrameskip-v4.zip +2 -2
- dqn-SpaceInvadersNoFrameskip-v4/data +0 -0
- dqn-SpaceInvadersNoFrameskip-v4/policy.pth +1 -1
- results.json +1 -1
- train_eval_metrics.zip +2 -2
README.md
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@@ -16,7 +16,7 @@ model-index:
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type: SpaceInvadersNoFrameskip-v4
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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@@ -73,7 +73,7 @@ OrderedDict([('batch_size', 32),
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('gradient_steps', 1),
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('learning_rate', 0.0001),
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('learning_starts', 100000),
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('n_timesteps',
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('optimize_memory_usage', False),
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('policy', 'CnnPolicy'),
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('target_update_interval', 1000),
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type: SpaceInvadersNoFrameskip-v4
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metrics:
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- type: mean_reward
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value: 5.00 +/- 7.07
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name: mean_reward
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verified: false
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---
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('gradient_steps', 1),
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('learning_rate', 0.0001),
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('learning_starts', 100000),
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('n_timesteps', 100000.0),
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('optimize_memory_usage', False),
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('policy', 'CnnPolicy'),
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('target_update_interval', 1000),
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args.yml
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- - save_replay_buffer
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- false
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- - seed
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-
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- - storage
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- null
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- - study_name
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- - save_replay_buffer
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- false
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- - seed
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- 3732197024
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- - storage
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- null
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- - study_name
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config.yml
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- - learning_starts
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- 100000
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- - n_timesteps
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-
-
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- - optimize_memory_usage
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- false
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- - policy
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- - learning_starts
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- 100000
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- - n_timesteps
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- 100000.0
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- - optimize_memory_usage
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- false
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- - policy
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dqn-SpaceInvadersNoFrameskip-v4.zip
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b83c13235f2604ff62baab41e1345cb1518d66ec4ee3030d1a1b4dcf52605dd6
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size 13714525
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dqn-SpaceInvadersNoFrameskip-v4/data
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The diff for this file is too large to render.
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dqn-SpaceInvadersNoFrameskip-v4/policy.pth
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size 13505767
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version https://git-lfs.github.com/spec/v1
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oid sha256:4bda11175cf06c7c36bbcda00cb44b41a83aadc86d5eb30e3b99cb4ce8c63d58
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size 13505767
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results.json
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{"mean_reward":
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{"mean_reward": 5.0, "std_reward": 7.0710678118654755, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2026-06-25T22:11:43.824920"}
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train_eval_metrics.zip
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:281161d8fec46a5b3f47d2ff4445c91654c706cf32729c6fc2a936b36afe3fa3
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size 5771
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