policy
a2rl-stem
manaromar04 · PyTorch
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Overview
Name
a2rl-stem
Author
manaromar04
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This repository contains a trained Reinforcement Learning (RL) model developed and optimized during the A2RL STEM League, an autonomous racing competition organized by ATRC in collaboration with AWS. The challenge required participants to design, train, and evaluate RL agents capable of completing r
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 a2rl-stem yet.
Datasets that reference this policy
0No datasets reference a2rl-stem yet.