There are 1 repository under rl-algorithms topic.
Repo for the Deep Reinforcement Learning Nanodegree program
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
A toolkit for reproducible reinforcement learning research.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
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
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
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
Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.
RL-Toolkit: A Research Framework for Robotics
A Collection for Distributed Reinforcement Learning Papers
reinforcement learning DQN method to solve OpenAi Gym "LunarLander-v2" by usnig a Deep Neuralnetwork
Deep Reinforcement Learning - Implementations and Theory: A path to mastery
This repository has RL algorithms implemented using python
Toy case for learning through Reinforcement Learning algorithms how to establish TCP connections.
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
Reinforcement Learning framework for learning IoT interactions.
Optimized version of the MinAtar (testbed for AI agents) codebase along with benchmarks for standard Reinforcement Learning agents on various environments.
Tasks with combinatorial structure embedded in MuJoCo robotics environments.
Reinforcement learning applied in the game of poker (holdem texas version).
Build and deploy AI Agents on Cloudflare
Implementation of RL algorithms to beat Atari 2600 games
Training RL agent to master Facebook TetrisBattle--PyTorch implementation
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.
Reinforcement Learning in Ball Sort Puzzle
Implémentations d'apprentissage par renforcement mixées avec des techniques de Deep Learning sur des environnements OpenAI Gym
Implementing different reinforcement learning algorithms on different gym environments and comparing results.