policy

ResponsiveCharacterMotion

MathiasLindberg · PyTorch

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Overview

Name
ResponsiveCharacterMotion
Author
MathiasLindberg
Framework
PyTorch
License
unknown
Skill type
manipulation
Evidence level
untested
Task description
Since the development of the Proximal Policy Optimization algorithm, researchers have utilized it for robot control, teaching a reinforcement learning agent how to retain balance of an animated, physics based character. This can be extended to games, enabling physics simulation of game characters, b

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

20

Compatible environments

0

No environments list ResponsiveCharacterMotion yet.

Datasets that reference this policy

0

No datasets reference ResponsiveCharacterMotion yet.