1230 Open source projects that are alternatives of or similar to Elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

A PyTorch library for building deep reinforcement learning agents.

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

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Repo for the Deep Reinforcement Learning Nanodegree program

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

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

☔ Deep RL agents with PyTorch☔

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

🔥🌟《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!

RLgraph: Modular computation graphs for deep reinforcement learning

🤖 Implements of Reinforcement Learning algorithms.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Modularized Implementation of Deep RL Algorithms in PyTorch

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

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

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

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.

juliareinforcementlearning.org/

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

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

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

A pytorch tutorial for DRL(Deep Reinforcement Learning)

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Deep Reinforcement Learning with pytorch & visdom

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

No description or website provided.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

An elegant PyTorch deep reinforcement learning library.

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

RAD: Reinforcement Learning with Augmented Data

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Reinforcement learning tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Solving OpenAI Gym problems.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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

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

ROS 2 enabled Machine Learning algorithms

playing idealized trading games with deep reinforcement learning

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Minimal and Clean Reinforcement Learning Examples

Live Trading. Please star.

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

Highly Modular and Scalable Reinforcement Learning

Ape-X DQN & DDPG with pytorch & tensorboard

Lightweight deep RL Libraray for continuous control.

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Simple Reinforcement Learning Framework

xingtian is a componentized library for the development and verification of reinforcement learning algorithms