Simple Reinforcement learning tutorials

Repo for the Deep Reinforcement Learning Nanodegree program

Modularized Implementation of Deep RL Algorithms in PyTorch

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

A PyTorch library for building deep reinforcement learning agents.

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

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Python library for Reinforcement Learning.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Implementation of algorithms for continuous control (DDPG and NAF).

Build environment and train a robot arm from scratch (Reinforcement Learning)

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

🤖 Implements of Reinforcement Learning algorithms.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Reinforcement Learning for WeChat Jump

Ape-X DQN & DDPG with pytorch & tensorboard

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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