534 Open source projects that are alternatives of or similar to Supergo

Unity Machine Learning Agents Toolkit

This is Andrew NG Coursera Handwritten Notes.

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中国象棋alpha zero程序

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Tensorflow implementation of generative adversarial imitation learning

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Accelerated deep learning R&D

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

Implementations of deep RL papers and random experimentation

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An environment to high-frequency trading agents under reinforcement learning

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Implementations of Reinforcement Learning and Planning algorithms

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

AI research environment for the Atari 2600 games 🤖.

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

Code for the paper "Evolved Policy Gradients"

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

A learning environment for man-made Interactive Fiction games.

ROS 2 enabled Machine Learning algorithms

Machine Learning notebooks for refreshing concepts.

Resources, papers, tutorials

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Unreal environments for reinforcement learning

Julia code for the book Reinforcement Learning An Introduction

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

C51-DDQN in Keras

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

A library of reinforcement learning components and agents

Deep Neuroevolution

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

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Master Thesis: Limit order placement with Reinforcement Learning

ns3-gym - The Playground for Reinforcement Learning in Networking Research

Using RGB Image as Visual Input for Mapless Robot Navigation

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Machine learning, in numpy

Deep Reinforcement Learning for de-novo Drug Design

OpenAI's cartpole env solver.

Testbed for deep reinforcement learning

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

playing idealized trading games with deep reinforcement learning

🙄 Difficult algorithm, Simple code.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Reinforcement Learning Cheat Sheet

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

Scalable Implementation of Deep CFR and Single Deep CFR

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

我的强化学习笔记和学习材料📖 still updating ... ...

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

A collection of multi agent environments based on OpenAI gym.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

The Retro Learning Environment (RLE) -- a learning framework for AI

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning