Upload PPO agent

README.md

@@ -1,59 +1,18 @@
 ---
-tags:
-- LunarLander-v3
-- ppo
-- reinforcement-learning
-- cleanrl
-- colab
 model-index:
-- name: PPO
+- name: PPO LunarLander-v2
   results:
   - task:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
-      name: LunarLander-v3
-      type: LunarLander-v3
+      name: LunarLander-v2
+      type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -200.82 +/- 95.02
+      value: -203.00 +/- 131.58
       name: mean_reward
       verified: false
 ---
-# PPO Agent for LunarLander-v3
-
-Mean reward: -200.82 ± 95.02
-
-```python
-{
-  "exp_name": "ppo_colab",
-  "seed": 1,
-  "torch_deterministic": true,
-  "cuda": true,
-  "track": false,
-  "wandb_project_name": "cleanRL",
-  "wandb_entity": null,
-  "capture_video": true,
-  "env_id": "LunarLander-v3",
-  "total_timesteps": 10,
-  "learning_rate": 0.00025,
-  "num_envs": 1,
-  "num_steps": 128,
-  "anneal_lr": true,
-  "gae": true,
-  "gamma": 0.99,
-  "gae_lambda": 0.95,
-  "num_minibatches": 1,
-  "update_epochs": 4,
-  "norm_adv": true,
-  "clip_coef": 0.2,
-  "clip_vloss": true,
-  "ent_coef": 0.01,
-  "vf_coef": 0.5,
-  "max_grad_norm": 0.5,
-  "target_kl": null,
-  "repo_id": "Akchunks/LunarLander-v2",
-  "batch_size": 128,
-  "minibatch_size": 128
-}
-```
+# PPO Agent for LunarLander-v2
+Mean reward: -203.00 ± 131.58

model.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 42898
+oid sha256:b50b2efda5140d2b81aa36a60540e4d33765745d06096cf453ca892556280ac3
+size 43291