Push Reinforce agent to the Hub
Browse files- README.md +1 -1
- hyperparameters.json +1 -1
- model.pt +1 -1
- replay.mp4 +2 -2
- results.json +1 -1
README.md
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@@ -10,7 +10,7 @@ model-index:
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results:
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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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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: 491.20 +/- 26.40
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name: mean_reward
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task:
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type: reinforcement-learning
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hyperparameters.json
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@@ -1 +1 @@
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{"h_size": 16, "n_training_episodes":
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{"h_size": 16, "n_training_episodes": 10000, "n_evaluation_episodes": 10, "max_t": 1000, "gamma": 1.0, "lr": 0.001, "env_id": "CartPole-v1", "state_space": 4, "action_space": 2}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 2479
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version https://git-lfs.github.com/spec/v1
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oid sha256:ddbc98a24c6d1eb26228676b6d445d2cecedd966f04de497e19b773683318c6b
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size 2479
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replay.mp4
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bcb441989c4bb5a75f2f7180b5fa16bb6a9c9b47635b3e66040665791335d0f
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size 91960
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results.json
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@@ -1 +1 @@
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{"env_id": "CartPole-v1", "mean_reward":
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{"env_id": "CartPole-v1", "mean_reward": 491.2, "n_evaluation_episodes": 10, "eval_datetime": "2022-07-08T23:55:24.037350"}
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