814 Open source projects that are alternatives of or similar to Reinforcement Learning

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

[파이썬과 케라스로 배우는 강화학습] 예제

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Accompanying repository for Let's make a DQN / A3C series.

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.

A reinforcement learning package for Julia

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

강화학습에 대한 기본적인 알고리즘 구현

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A PyTorch library for building deep reinforcement learning agents.

Python library for Reinforcement Learning.

A high-performance Atari A3C agent in 180 lines of PyTorch

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Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

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

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

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

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Reinforcement learning environments with musculoskeletal models

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

My experimentations with Reinforcement Learning in Pytorch

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

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

TensorFlow and Deep Learning Tutorials

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

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

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

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

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Using deep reinforcement learning to tackle the game 2048.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

For deep RL and the future of AI.

An elegant PyTorch deep reinforcement learning library.

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Modularized Implementation of Deep RL Algorithms in PyTorch

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

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Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

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

MuZero

Explore and find reinforcement learning environments in a list of 150+ open source environments.

An advanced program in Machine Learning and Deep Learning

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Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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