Deep Reinforcement Learning Python Packages

carla

Open-source simulator for autonomous driving research.

rlcard

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

d3rlpy

An offline deep reinforcement learning library

navix

Accelerated minigrid environments with JAX

aftab

A Progressive Design Study of Visual Encoders and Value Estimation for Replay-Free Parallelized Q-Learning

habitat-lab

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

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.

rl-zoo3

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

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.

airsim

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

habitat-baselines

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

mitdeeplearning

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

easyagents

Reinforcement Learning for Practitioners.

bark-simulator

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

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.

finrl

FinRL®: Financial Reinforcement Learning. 🔥

neptune-contrib

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

actorch

Deep reinforcement learning framework for fast prototyping based on PyTorch

masa-safe-rl

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

tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

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.

pysummarization

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.

trax

Trax — Deep Learning with Clear Code and Speed