2023 Open source projects that are alternatives of or similar to Pytorch Rl

Python library for Reinforcement Learning.

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

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Repo for the Deep Reinforcement Learning Nanodegree program

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

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

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Solving OpenAI Gym problems.

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

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

Scalable, event-driven, deep-learning-friendly backtesting library

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

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

PyTorch implementation of Soft Actor-Critic (SAC)

🔥🌟《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!

An elegant PyTorch deep reinforcement learning library.

Stochastic Adversarial Video Prediction

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

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

DrQ: Data regularized Q

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

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Structural implementation of RL key algorithms

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

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

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

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

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

Minimal and Clean Reinforcement Learning Examples

🤖 Implements of Reinforcement Learning algorithms.

A PyTorch library for building deep reinforcement learning agents.

Highly Modular and Scalable Reinforcement Learning

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

No description or website provided.

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

RLgraph: Modular computation graphs for deep reinforcement learning

Reinforcement Learning Algorithms

MuZero

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

Explore and find reinforcement learning environments in a list of 150+ open source environments.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

OpenAI Gym wrapper for the DeepMind Control Suite

[파이썬과 케라스로 배우는 강화학습] 예제

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

AI research environment for the Atari 2600 games 🤖.

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Combining deep learning and reinforcement learning.

A collection of multi agent environments based on OpenAI gym.

PyTorch implementation of Trust Region Policy Optimization

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862