davide97l/Pacman

Implementation of many popular AI algorithms to play the game of Pacman such as Minimax, Expectimax and Greedy.

/ 100

Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 5 / 25

Maturity 1 / 25

Community 15 / 25

Stars

Forks

Language

Python

License

—

Category

Last pushed

Apr 12, 2020

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/agents/davide97l/Pacman"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

facebookresearch/BenchMARL

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL...

Toni-SM/skrl

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with...

datamllab/rlcard

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

utiasDSL/gym-pybullet-drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

koulanurag/ma-gym

A collection of multi agent environments based on OpenAI gym.