439 Open source projects that are alternatives of or similar to Deeprl

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

☔ Deep RL agents with PyTorch☔

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.

juliareinforcementlearning.org/

An elegant PyTorch deep reinforcement learning library.

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

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

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

No description or website provided.

Repo for the Deep Reinforcement Learning Nanodegree program

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Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

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

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

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

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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.

Lightweight deep RL Libraray for continuous control.

🔥🌟《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!

A PyTorch library for building deep reinforcement learning agents.

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

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

RLgraph: Modular computation graphs for deep reinforcement learning

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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

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

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

Python library for Reinforcement Learning.

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

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).

Ape-X DQN & DDPG with pytorch & tensorboard

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

Live Trading. Please star.

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

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

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

🤖 Implements of Reinforcement Learning algorithms.

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An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

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[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Autonomous Drifting using Reinforcement Learning

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

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Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

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

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