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agentnet

Deep Reinforcement Learning library for humans

aigames

use AI to play some games.

anylogic-pypeline

A custom AnyLogic library for running Python inside an AnyLogic model (Java)

atari-model-zoo

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

awesome-deep-rl

For deep RL and the future of AI.

awesome-rl

Reinforcement learning resources curated

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

chainerrl

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

coach

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

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

deeprl-tutorials

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

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

horizon

A platform for Applied Reinforcement Learning (Applied RL)

keras-rl

Deep Reinforcement Learning for Keras.

lab

A customisable 3D platform for agent-based AI research

learning-from-human-preferences

Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"

maca

magent

A Platform for Many-agent Reinforcement Learning

malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

ml-agents

Unity Machine Learning Agents Toolkit

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

multiworld

Multitask Environments for RL

openai_lab

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

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

ray

A fast and simple framework for building and running distributed applications.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.