Commit
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Initial commit
Browse files- README.md +1 -1
- a2c-AntBulletEnv-v0.zip +2 -2
- a2c-AntBulletEnv-v0/data +7 -7
- a2c-AntBulletEnv-v0/policy.optimizer.pth +1 -1
- a2c-AntBulletEnv-v0/policy.pth +1 -1
- config.json +1 -1
- replay.mp4 +2 -2
- results.json +1 -1
- vec_normalize.pkl +1 -1
README.md
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results:
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value:
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name: mean_reward
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task:
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type: reinforcement-learning
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results:
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- metrics:
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- type: mean_reward
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value: 1416.24 +/- 70.51
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name: mean_reward
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task:
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type: reinforcement-learning
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If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. 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If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. 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{"mean_reward":
|
|
|
|
| 1 |
+
{"mean_reward": 1416.2360596470069, "std_reward": 70.50500376933176, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-09-12T06:25:22.017934"}
|
vec_normalize.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2763
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3dc90ff094a48eb49b4ecc6579b3bff70488e5f22683831abf85c19d0c031809
|
| 3 |
size 2763
|