policy
playground-swing-rl
Mpasiowiec · PyTorch
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Overview
Name
playground-swing-rl
Author
Mpasiowiec
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
Simulate a human on a swing and train reinforcement learning agents to learn efficient swinging strategies. The environment models realistic swing dynamics, enabling experimentation with RL algorithms for human-like motion control.
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 playground-swing-rl yet.
Datasets that reference this policy
0No datasets reference playground-swing-rl yet.