TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

A toolkit for reproducible reinforcement learning research.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

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

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Multi-Objective Reinforcement Learning algorithms implementations.

EasyRL: An easy-to-use and comprehensive reinforcement learning package.

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

self-studying the Sutton & Barto the hard way

Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.

Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)

Reinforcement learning algorithms

RL-Toolkit: A Research Framework for Robotics

Deep Reinforcement Learning - Implementations and Theory: A path to mastery

Toy case for learning through Reinforcement Learning algorithms how to establish TCP connections.

Reinforcement Learning framework for learning IoT interactions.

Safe Reinforce Learning -> Constraint algorithms to train agents in Safety Gym, paper notes on research papers regarding RL with constraints + optimizer + neural networks, PyTorch implementation on policy gradient algorithms

Optimized version of the MinAtar (testbed for AI agents) codebase along with benchmarks for standard Reinforcement Learning agents on various environments.

Reinforcement learning applied in the game of poker (holdem texas version).