353 Open source projects that are alternatives of or similar to alpha_sigma

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Deep Learning big homework of UCAS

alphaGo版本的五子棋(gobang, gomoku)

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

一个五子棋AI，使用原生JavaScript开发

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

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Repo for the Deep Reinforcement Learning Nanodegree program

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

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

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

3D RL Volleyball environment built on Unity ML-Agents

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Cloud-native Financial Reinforcement Learning

My Simple Implementation of AlphaGo Zero on Connect4

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Reinforcement Learning for Super Mario Bros using A3C on GPU

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

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

A high-level framework for advanced deep learning with TensorFlow

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

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

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

A serious Gomoku board game AI written in C++

Awesome RL: Papers, Books, Codes, Benchmarks

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

Lightweight deep RL Libraray for continuous control.

Revisiting Rainbow

Live Trading. Please star.

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

No description or website provided.

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

A Universal Deep Reinforcement Learning Framework

Gomoku Battle is a cross-language cross-system battle platform.

JAX implementations of core Deep RL algorithms

Learning Continuous Control in Deep Reinforcement Learning

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

An out-of-the-box GUI tool for offline deep reinforcement learning

☔ Deep RL agents with PyTorch☔

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Functional Reinforcement Learning in Scala.

A Real-Time-Strategy game for Deep Learning research

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

High-speed Autonomous Drifting with Deep Reinforcement Learning

An implementation of improved AlphaGo algorithm in the game of Gomoku.

Ape-X DQN & DDPG with pytorch & tensorboard

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

A curated list of resources about Machine Learning for Robotics

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

Eagerly Experimentable!!!

Board Game Reinforcement Learning using AlphaZero method. including Makhos (Thai Checkers), Reversi, Connect Four, Tic-tac-toe game rules