policy
pacman-RL
othmaneechc · PyTorch
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Overview
Name
pacman-RL
Author
othmaneechc
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
This project focuses on developing a Reinforcement Learning (RL) model or the classic game of Pacman, utilizing the codebase provided by UC Berkeley. The goal is to train an RL agent that can navigate the Pacman game environment, collect rewards, and avoid ghosts to achieve high scores.
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 pacman-RL yet.
Datasets that reference this policy
0No datasets reference pacman-RL yet.