policy
FrozenLake-PPO-with-Custom-Map
Kaleigh-M · Stable-Baselines3
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Overview
Name
FrozenLake-PPO-with-Custom-Map
Author
Kaleigh-M
Framework
Stable-Baselines3
License
unknown
Skill type
navigation
Evidence level
untested
Task description
This project is a work-in-progress implementation of a reinforcement learning agent trained to navigate a custom version of the FrozenLake environment using the Proximal Policy Optimization (PPO) algorithm from the Stable-Baselines3 library.
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 FrozenLake-PPO-with-Custom-Map yet.
Datasets that reference this policy
0No datasets reference FrozenLake-PPO-with-Custom-Map yet.