policy
evorl
DamianKoterba · PyTorch
or hover any field below to flag it
Overview
Name
evorl
Author
DamianKoterba
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
Simulation of competing artificial life forms using 1. base models initially trained by RL or 2. evolving neural networks generated by the NEAT algorithm
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 evorl yet.
Datasets that reference this policy
0No datasets reference evorl yet.