rl-algorithms

Repo for the Deep Reinforcement Learning Nanodegree program

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

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

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

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

self-studying the Sutton & Barto the hard way

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

EasyRL

Tensorflow 2 Reinforcement Learning Cookbook, published by Packt

Reinforcement learning algorithms

Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.

This repository has RL algorithms implemented using python

A toolkit for developing and comparing your reinforcement learning agents in various games (OpenAI Gym or Pybullet).

RLjs currently serves as an interactive playground for learning reinforcement learning.

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

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

Implementation of RL algorithms to beat Atari 2600 games

Reinforcement Learning in Ball Sort Puzzle

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.

Training RL agent to master Facebook TetrisBattle--PyTorch implementation

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

Various RL algorithms implementations

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.

Code for some fun exercises in the textbook 'Reinforcement Learning - An Introduction'

Reinforcement Learning framework for learning IoT interactions.

Navigation Project - Udacity Deep Reinforcement Learning Nanodegree

A collection of my completed & 'in progress' works in the Reinforcement Learning domain