A Smart Agent using reinforcement learning with CNN + MCTS to learn to play Othello/Reversi
-
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)
AlphaZero for ultimate tic-tac-toe.
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
Multi-agent Self-Play Reinforcement Learning Library
A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
A chess program based on Deep Mind's AlphaZero.
Play Bor-Bor Zan strategically!
Deep Reinforcement Learning - NPC Behaviour - Unity ML-Agents
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
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.
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].
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
Add a description, image, and links to the self-play topic page so that developers can more easily learn about it.
To associate your repository with the self-play topic, visit your repo's landing page and select "manage topics."