Reinforcement Learning
Transformers
TensorBoard
BipedalWalker-v3
ars
deep-reinforcement-learning
custom-implementation
Eval Results (legacy)
Instructions to use MadFritz/ars-BipedalWalker-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MadFritz/ars-BipedalWalker-v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MadFritz/ars-BipedalWalker-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38d83bd154240f27a321ab5787ef7a55f47b37acfb73e403636dfcb6e474d0e0
- Size of remote file:
- 441 Bytes
- SHA256:
- 5d7379a391efe853ff26c8523f425f11e56be090ab82058843c0abc5b8860ade
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