Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
robotics
gymnasium
panda-gym
Eval Results (legacy)
Instructions to use nirmanpatel/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use nirmanpatel/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="nirmanpatel/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Initial commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v3.zip +1 -1
- results.json +1 -1
README.md
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type: PandaReachDense-v3
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metrics:
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- type: mean_reward
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value: -17.
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name: mean_reward
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verified: false
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---
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type: PandaReachDense-v3
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metrics:
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- type: mean_reward
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value: -17.94 +/- 6.03
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name: mean_reward
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verified: false
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---
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a2c-PandaReachDense-v3.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 114090
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b7e732feda2363c8eaf1dacf7e198cc4685f1f144a7c6095bef01545cf5833b
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size 114090
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results.json
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{"mean_reward": -17.
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{"mean_reward": -17.942285000000002, "std_reward": 6.029875863731591, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-05-13T17:05:00.794599"}
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