835 Open source projects that are alternatives of or similar to Pytorch A2c Ppo Acktr Gail

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

PyTorch implementation of Soft Actor-Critic (SAC)

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

☔ Deep RL agents with PyTorch☔

DrQ: Data regularized Q

An elegant PyTorch deep reinforcement learning library.

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

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

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

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

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

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

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

JAX implementations of core Deep RL algorithms

A Universal Deep Reinforcement Learning Framework

Lightweight deep RL Libraray for continuous control.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

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

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

RAD: Reinforcement Learning with Augmented Data

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

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

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

No description or website provided.

RLgraph: Modular computation graphs for deep reinforcement learning

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

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Minimal and Clean Reinforcement Learning Examples

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

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)

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

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.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

PyTorch implementation of Trust Region Policy Optimization

🔥🌟《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!

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

Modularized Implementation of Deep RL Algorithms in PyTorch

Repo for the Deep Reinforcement Learning Nanodegree program

Python library for Reinforcement Learning.

A3C LSTM Atari with Pytorch plus A3G design

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

A PyTorch library for building deep reinforcement learning agents.

PyTorch C++ Reinforcement Learning

Implementations of Reinforcement Learning Models in Tensorflow

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

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

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.

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

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Reinforcement Learning Algorithms

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch