A Smart Agent using reinforcement learning with CNN + MCTS to learn to play Othello/Reversi
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Updated
Jan 21, 2021 - Python
A Smart Agent using reinforcement learning with CNN + MCTS to learn to play Othello/Reversi
Using an DQN agent trained on Tic-Tac-Toe and Connect Four as a base for an dynamically balanced opponent. (Student Project)
Multi-agent Self-Play Reinforcement Learning Library
A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
AlphaZero for ultimate tic-tac-toe.
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
Deep Reinforcement Learning - NPC Behaviour - Unity ML-Agents
A chess program based on Deep Mind's AlphaZero.
Play Bor-Bor Zan strategically!
Self playing, talking baseball game.
Recreating Bill Seiler's 1985 version of Space War and training RL agents with Self-Play
基于PyTorch的分布式强化学习框架
A simple implementation of an AI game player inspired by AlphaZero
An asynchronous implementation of AlphaZero, a self-play reinforcement learning algorithm.
Simple reinforcement learning framework for selfplay experiments
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
My attempt to reproduce a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].
Using Value Iteration and Policy Iteration to discover the optimal solution for the strategic dice game PIG. Ultimately interested in whether the optimal solution can be reached through self-play alone.
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
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