policy
PPO-CartPole-Reinforcement-Learning
Kaleigh-M · PyTorch
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Overview
Name
PPO-CartPole-Reinforcement-Learning
Author
Kaleigh-M
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This project demonstrates how to train a reinforcement learning model using Proximal Policy Optimization (PPO) on the CartPole-v1 environment.
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-CartPole-Reinforcement-Learning yet.
Datasets that reference this policy
0No datasets reference PPO-CartPole-Reinforcement-Learning yet.