1749 Open source projects that are alternatives of or similar to Awesome Deep Rl

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

Artificial intelligence for the Snake game.

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

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

Using deep reinforcement learning to tackle the game 2048.

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

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

Repo for the Deep Reinforcement Learning Nanodegree program

Python library for Reinforcement Learning.

A course in reinforcement learning in the wild

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

和（he for objective-c） —— “信息熵减机系统”

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

MCTS project for Tetris

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

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

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

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

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

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

Trax — Deep Learning with Clear Code and Speed

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Deep Reinforcement Learning with pytorch & visdom

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

Tensorforce: a TensorFlow library for applied reinforcement learning

RLgraph: Modular computation graphs for deep reinforcement learning

PyTorch implementation of soft actor critic

DrQ: Data regularized Q

Grokking Deep Reinforcement Learning

PyTorch implementation of Trust Region Policy Optimization

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

RAD: Reinforcement Learning with Augmented Data

TensorFlow2 Reinforcement Learning

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

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

A PyTorch library for building deep reinforcement learning agents.

use AI to play some games.

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Code repository for the Animal AI Olympics competition

Guided Policy Search

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

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

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Gibson Environments: Real-World Perception for Embodied Agents

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

A3C LSTM Atari with Pytorch plus A3G design

Reinforcement learning environments with musculoskeletal models

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

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

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

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

Implementations of Reinforcement Learning Models in Tensorflow

TensorFlow and Deep Learning Tutorials

Reinforcement Learning Algorithms