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
20anybotics-anymal-cnot in seedalohanot in seedgoogle-barkour-vbnot in seedboston-dynamics-spotnot in seedfranka-fr3not in seedgoogle-barkour-v0not in seedagilex-pipernot in seedberkeley-humanoidnot in seedbitcraze-crazyflie-2not in seedanybotics-anymal-bnot in seedagility-cassienot in seedarx-l5not in seedbooster-t1not in seedfranka-emika-pandanot in seedfranka-fr3-v2not in seeddynamixel-2rnot in seedflexiv-rizon4not in seedassetsnot in seedapptronik-apollonot in seedfourier-n1not in seed
Compatible environments
0No environments list ResponsiveCharacterMotion yet.
Datasets that reference this policy
0No datasets reference ResponsiveCharacterMotion yet.