policy
ppo_car_racing
luishmq · PyTorch
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Overview
Name
ppo_car_racing
Author
luishmq
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Implementation of Proximal Policy Optimization (PPO) to train reinforcement learning agents in Gymnasium environments, with a focus on the CarRacing task.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list ppo_car_racing yet.
Datasets that reference this policy
0No datasets reference ppo_car_racing yet.