Deep Reinforcement Learning Python Packages

carla

Open-source simulator for autonomous driving research.

d3rlpy

An offline deep reinforcement learning library

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.

aftab

A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks

rlcard

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

habitat-lab

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

finrl

FinRL®: Financial Reinforcement Learning. 🔥

habitat-baselines

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

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

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

rainy

:umbrella: Deep RL agents with PyTorch:umbrella:

masa-safe-rl

MASA-Safe-RL: A safe reinforcement library for providing a common interface for different constraints and environments

navix

Accelerated minigrid environments with JAX

keras-rl2

Reinforcement learning with tensorflow 2 keras

mitdeeplearning

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

bark-simulator

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

rlox

Rust-accelerated reinforcement learning — 22 algorithms, 2-10x faster than SB3. The Polars of RL.

actorch

Deep reinforcement learning framework for fast prototyping based on PyTorch

pyrddlgym-rl

Wrappers for reinforcement learning algorithms (i.e. stable baselines 3, RLlib) to work with pyRDDLGym.

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.

neptune-contrib

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

tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning