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

juliareinforcementlearning.org/

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

My notes on reinforcement learning papers

Structural implementation of RL key algorithms

DrQ: Data regularized Q

TensorFlow2 Reinforcement Learning

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

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Tensorforce: a TensorFlow library for applied reinforcement learning

Grokking Deep Reinforcement Learning

PyTorch implementation of Trust Region Policy Optimization

My Solution to Assignments of CS234

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

use AI to play some games.

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

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..

A working implementation of the Categorical DQN (Distributional RL).

A course in reinforcement learning in the wild

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

An advanced program in Machine Learning and Deep Learning

Implementations of Reinforcement Learning Models in Tensorflow

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

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

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

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Trax — Deep Learning with Clear Code and Speed

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Code repository for the Animal AI Olympics competition

Guided Policy Search

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

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

Reinforcement learning environments with musculoskeletal models

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

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

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

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

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

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

TensorFlow and Deep Learning Tutorials

강화학습에 대한 기본적인 알고리즘 구현

Reinforcement Learning Algorithms

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Using deep reinforcement learning to tackle the game 2048.

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

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

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Conversational AI Reading Materials

For deep RL and the future of AI.

Reinforcement Learning for WeChat Jump

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

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

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung