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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.

byoe

Build a browser-based AI coding assistant with no install, no backend, and direct API access from the browser

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

mitdeeplearning

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

navix

Accelerated minigrid environments with JAX

bark-simulator

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

sumo-rl

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

actorch

Deep reinforcement learning framework for fast prototyping based on PyTorch

habitat-lab

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.

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.

neptune-contrib

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

trax

Trax

tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

rainy

:umbrella: Deep RL agents with PyTorch:umbrella:

habitat-baselines

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

pydbm

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.