998 Open source projects that are alternatives of or similar to Torch Ac

A3C LSTM Atari with Pytorch plus A3G design

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).

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

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

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

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

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

Deep Reinforcement Learning with pytorch & visdom

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

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

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

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

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Minimal and Clean Reinforcement Learning Examples

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..

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

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.

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

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

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

A high-performance Atari A3C agent in 180 lines of PyTorch

Implementations of Reinforcement Learning Models in Tensorflow

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

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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

DrQ: Data regularized Q

🔥🌟《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!

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

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

TensorFlow and Deep Learning Tutorials

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

Reinforcement learning tutorials

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

Reinforcement Learning Algorithms

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

RAD: Reinforcement Learning with Augmented Data

RLgraph: Modular computation graphs for deep reinforcement learning

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

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

PyTorch C++ Reinforcement Learning

Repo for the Deep Reinforcement Learning Nanodegree program

PyTorch implementation of Soft Actor-Critic (SAC)

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

A PyTorch library for building deep reinforcement learning agents.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

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

Code repository for the Animal AI Olympics competition

Guided Policy Search

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Deep Reinforcement Learning based Trading Agent for Bitcoin

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Asynchronous Methods for Deep Reinforcement Learning

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.