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

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

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Unreal environments for reinforcement learning

Julia code for the book Reinforcement Learning An Introduction

Seoul AI Gym is a toolkit for developing AI algorithms.

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

🔬 A curated list of awesome machine learning strategies & tools in financial market.

C51-DDQN in Keras

OpenAI Gym environments using DART

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

Actor-Critic Instance Segmentation (CVPR 2019)

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

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

A library of reinforcement learning components and agents

A gym environment for Stuart Armstrong's model of a treacherous turn.

Deep Neuroevolution

Reinforcement Learning Assignment: Easy21

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

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

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

Simulation of spiking neural networks (SNNs) using PyTorch.

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.

Codebase for the Summary Loop paper at ACL2020

Master Thesis: Limit order placement with Reinforcement Learning

ChainerRL is a deep reinforcement learning library built on top of Chainer.

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

backtrader with DRL ( Deep Reinforcement Learning)

Using RGB Image as Visual Input for Mapless Robot Navigation

Cornell Instruction Following Framework

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

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Machine learning, in numpy

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

Deep Reinforcement Learning for de-novo Drug Design

My experimentations with Reinforcement Learning in Pytorch

OpenAI's cartpole env solver.

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Testbed for deep reinforcement learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

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

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

playing idealized trading games with deep reinforcement learning

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

🙄 Difficult algorithm, Simple code.

Quiz & Assignment of Coursera

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

Resources to learn more about Machine Learning and Artificial Intelligence

Reinforcement Learning Cheat Sheet

Reinforcement learning environments with musculoskeletal models

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

Highly Modular and Scalable Reinforcement Learning

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

Learning from zero (mostly based off of AlphaZero) in General Game Playing.