Deep Reinforcement Learning Python Packages

aftab

Combining advancements in discrete deep reinforcement learning

d3rlpy

An offline deep reinforcement learning library

carla

Open-source simulator for autonomous driving research.

mlagents-envs

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

mlagents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

rlcard

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

finrl

FinRL®: Financial Reinforcement Learning. 🔥

rl-zoo3

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

navix

Accelerated minigrid environments with JAX

mitdeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

bark-simulator

A tool for Behavior benchmARKing

habitat-lab

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

byoe

卜一智航 — 携智而来，决策随行。AI 开发团队编排 + 内置多模型编程 Agent 一体化工具

actorch

Deep reinforcement learning framework for fast prototyping based on PyTorch

sumo-rl

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

habitat-baselines

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

accelbrainbeat

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.

tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

neptune-contrib

This library is a location of the LegacyLogger for PyTorch Lightning.

keras-rl2

Reinforcement learning with tensorflow 2 keras

trax

Trax — Deep Learning with Clear Code and Speed

gym-unity

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.