Multi-Objective Reinforcement Learning algorithms implementations.

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

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

RL-Toolkit: A Research Framework for Robotics

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

Repo for the Deep Reinforcement Learning Nanodegree program

Custom Reinforcement Learning Agents

Short own implementation of the game snake. In this project I'am using the ray library together with ray tune and a custom PPO model.

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

Using reinforcement learning to play games.

A toolkit for reproducible reinforcement learning research.

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

Tensorflow 2 Reinforcement Learning Cookbook, published by Packt

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

Tic-tac-toe/"noughts & crosses" written in Clojure (CLI + deps). AI powered by Monte Carlo tree search algorithm

Tasks with combinatorial structure embedded in MuJoCo robotics environments.

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

reinforcement learning DQN method to solve OpenAi Gym "LunarLander-v2" by usnig a Deep Neuralnetwork

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