Push agent to the Hub
Browse files- README.md +3 -3
- logs/events.out.tfevents.1677373465.bguisards-MBP.5197.0 +3 -0
- model.pt +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
README.md
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@@ -17,7 +17,7 @@ model-index:
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type: LunarLander-v2
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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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# Hyperparameters
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```python
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{'total_timesteps':
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'learning_rate': 0.
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'num_envs': 8
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'num_steps': 256
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'anneal_lr': True
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: 259.86 +/- 27.65
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name: mean_reward
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verified: false
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---
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# Hyperparameters
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```python
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{'total_timesteps': 1000000
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'learning_rate': 0.0125
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'num_envs': 8
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'num_steps': 256
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'anneal_lr': True
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logs/events.out.tfevents.1677373465.bguisards-MBP.5197.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:90ee32f8218adacb6ffb6490f02c057e0ef602a518d4f2130b3772c47d482fb0
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size 550279
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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 42469
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version https://git-lfs.github.com/spec/v1
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oid sha256:e393b14d37c907d58e28d75187fe86c4819cd068052e4d583f338bf03a9d3c9a
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size 42469
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replay.mp4
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Binary files a/replay.mp4 and b/replay.mp4 differ
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results.json
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@@ -1 +1 @@
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{"env_id": "LunarLander-v2", "mean_reward":
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{"env_id": "LunarLander-v2", "mean_reward": 259.8583820266712, "std_reward": 27.64539770640247, "n_evaluation_episodes": 10, "eval_datetime": "2023-02-25T20:13:23.456214"}
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