policy
CartPole-Reinforcement-Learning
GrahlmanMatthew · PyTorch
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Overview
Name
CartPole-Reinforcement-Learning
Author
GrahlmanMatthew
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Uses the Stable Baselines 3 and OpenAI Python libraries to train models that attempt to solve the CartPole problem using 3 reinforcement learning algorithms; PPO (Proximal Policy Optimization), A2C (Advantage Actor Critic) and DQN (Deep Q Learning).
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
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Datasets that reference this policy
0No datasets reference CartPole-Reinforcement-Learning yet.