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
A chess program based on Deep Mind's AlphaZero.
Play Bor-Bor Zan strategically!
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
AlphaZero for ultimate tic-tac-toe.
Multi-agent Self-Play Reinforcement Learning Library
A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
Using an DQN agent trained on Tic-Tac-Toe and Connect Four as a base for an dynamically balanced opponent. (Student Project)
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
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.
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
Train a neural network to play 2048
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A multi agent re-enforcement learning environment for many on many bot fights between space ships
Implementation of RPPO(Risk-sensitive PPO) and RPBT(Population-based self-play with RPPO)
Emulator and AI of Shadowverse
Implementation of TD Gammon algorithm by Gerald Tesauro at IBM's Thomas J. Watson Research Center in Python.
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