Repo for the Deep Reinforcement Learning Nanodegree program
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Updated
Nov 16, 2023 - Jupyter Notebook
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
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
EasyRL: An easy-to-use and comprehensive reinforcement learning package.
Multi-Objective Reinforcement Learning algorithms implementations.
self-studying the Sutton & Barto the hard way
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
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.
Toy case for learning through Reinforcement Learning algorithms how to establish TCP connections.
This repository has RL algorithms implemented using python
Reinforcement learning applied in the game of poker (holdem texas version).
RL-Toolkit: A Research Framework for Robotics
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