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.
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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
Multi-Objective Reinforcement Learning algorithms implementations.
EasyRL: An easy-to-use and comprehensive reinforcement learning package.
self-studying the Sutton & Barto the hard way
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
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
reinforcement learning DQN method to solve OpenAi Gym "LunarLander-v2" by usnig a Deep Neuralnetwork
This repository has RL algorithms implemented using python
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.
Deep Reinforcement Learning - Implementations and Theory: A path to mastery
Tasks with combinatorial structure embedded in MuJoCo robotics environments.
Reinforcement learning applied in the game of poker (holdem texas version).
Training RL agent to master Facebook TetrisBattle--PyTorch implementation
This repository contains my implementations of well-known reinforcement learning algorithms for training a single agent. All implementations are done using PyTorch and Python >=3.6.
This is a repository for Coursera Reinforcement Learning Course Notebook ,, these consist of my solutions. Feel Free to take a look , if you are stuck in Course and suggest corrections, if you find any mistake. Also Useful if you are looking for an implementation of RL-Algorithms. ** NOTE THESE NOTEBOOKS DON'T WORK AS THEY DO NOT CONTAIN UTILITY FILES WHICH ARE AVAILABLE ONLY ON COURSERA.
Implementation of RL algorithms to beat Atari 2600 games
Reinforcement Learning in Ball Sort Puzzle
A collection of my completed & 'in progress' works in the Reinforcement Learning domain