policy
F1Racers
robayedl · PyTorch
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Overview
Name
F1Racers
Author
robayedl
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
An autonomous car racing agent trained using reinforcement learning algorithms (DQN, PPO, SAC) in the Gymnasium CarRacing-v3 environment. The project evaluates model performance based on rewards, convergence, and control efficiency for autonomous driving.
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 F1Racers yet.
Datasets that reference this policy
0No datasets reference F1Racers yet.