130 Open source projects that are alternatives of or similar to connect4

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

alphaGoZero论文的实现

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

Structural implementation of RL key algorithms

Modeling agents with probabilistic programs

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

[파이썬과 케라스로 배우는 강화학습] 예제

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/

Pytorch Implementation of RL algorithms

No description or website provided.

Unofficial pytorch implementation of ReZero in ResNet

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Quoridor AI based on Monte Carlo tree search

Trust Region Policy Optimization (TRPO) in pure TensorFlow

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Deep active inference agents using Monte-Carlo methods

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

Repo for the Deep Reinforcement Learning Nanodegree program

Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout

Animal Fight Chess Game（斗兽棋） written in rust.

UCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Scalable Implementation of Neural Fictitous Self-Play

A board game framework, focused not on graphics or user interfaces, but on artificial players design, implementation and testing.

Solving POMDP using Recurrent networks

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Ranking Policy Gradient

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

강화학습에 대한 기본적인 알고리즘 구현

Solve BipedalWalkerHardcore-v2 with TD3

A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Deep Learning big homework of UCAS

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Wide Residual Networks implemented in TensorLayer and TensorFlow.

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

ResNet for Cifar10

Caffe Wide-Residual-Network (WRN) Generator

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Check out the new style for App Design aims for Tic Tac Toe Game...😉😀😁😎

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …

Scalable, event-driven, deep-learning-friendly backtesting library

L2RPN Baselines a repository to host baselines for l2rpn competitions.

Reinforcement Learning algorithm's using google-colab

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Deep Reinforcement Learning For Sequence to Sequence Models

alphaGo版本的五子棋(gobang, gomoku)

Reinforcement Learning in Vrep

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).