human-player

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levitation-opensource /ai-safety-gridworlds

Extended, multi-agent and multi-objective (MaMoRL / MoMaRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.

simulation-environment constraint-satisfaction-problem artificial-intelligence multi-agent gym simulation-framework rl multi-objective-optimization gridworld ai-safety multiobjective human-player gridworld-environment reinforcement-learning-environments marl sideeffects multiobjective-learning morl pettingzoo pluralism

UpdatedMar 9, 2025
Python

ManuelFay /AlphaConnect4

Star4

Connect-4 AI inspired by the AlphaZero paper that uses Monte-Carlo Tree Search, and a neural policy and value estimator neural network trained with samples generated from self play between previous iterations of the model.

agent reinforcement-learning ai deep-learning mcts monte-carlo-tree-search alphago connect4 human-player alphazero estimator-network

UpdatedJul 25, 2022
Python

OscarCal /ImitatingWordlePlayers

Star0

This project includes an analysis of Wordle games published on Twitter, the creation of models that imitate players and metrics used to evaluate them.

genetic-algorithm wordle imitation human-player