69 Open Source Actor Critic Software Projects
Free and open source actor critic code projects including engines, APIs, generators, and tools.
Reinforcement Learning With Tensorflow 6293 ⭐
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Deep_reinforcement_learning_course 2970 ⭐
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Pytorch A2c Ppo Acktr Gail 2365 ⭐
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).
Deep Reinforcement Learning With Pytorch 1408 ⭐
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Ikostrikov Pytorch A3c 886 ⭐
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Deeprl Tutorials 767 ⭐
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Dissecting Reinforcement Learning 516 ⭐
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Reaver 502 ⭐
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
Reinforcement_learning_tutorial_with_demo 458 ⭐
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..
Reinforcement Learning Algorithms 439 ⭐
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)
Openai_lab 313 ⭐
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Pytorch Madrl 239 ⭐
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Hands On Intelligent Agents With Openai Gym 192 ⭐
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Mg2033 A2c 169 ⭐
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
Overcoming Exploration From Demos 112 ⭐
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
Hierarchical Actor Critic Hac Pytorch 118 ⭐
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Reinforcementlearning Atarigame 124 ⭐
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
Visualize_atari 94 ⭐
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
Super Mario Bros Rl 63 ⭐
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
Java Reinforcement Learning 65 ⭐
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
Bentrevett Pytorch Rl 126 ⭐
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Machine Learning Is All You Need 188 ⭐
🔥🌟《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!
Deep Reinforcement Learning Applied To Doom 56 ⭐
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
Torch Ac 80 ⭐
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Reinforcement_learning_with_tensorflow 27 ⭐
Minimal implementations of reinforcement learning algorithms by Tensorflow
Popovicidaniela Master Thesis 25 ⭐
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 For Optimal Financial Trading 25 ⭐
Implementation of the DDPG algorithm for Optimal Finance Trading
Deep Reinforcement Learning Algorithm Collection 27 ⭐
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
Deeprl P2 Continuous Control 14 ⭐
Project 2 of Udacity's Deep Reinforcement Learning nanodegree program
Underflow 14 ⭐
With underflow, create trafic light clusters that interact together to regulate circulation
Cat_mouse_continuous_rl 10 ⭐
Using DDPG and A2C reinforcement learning algorithms to solve a math puzzle
Deep Reinforcement Learning Notebooks 12 ⭐
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.
Null 29 ⭐
PyTorch1.6, "Neural Combinatorial Optimization with Reinforcement Learning", Pointer Networks, Deep RL(Actor-Critic), Traveling Salesman Problem
Null 101 ⭐
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Null 11 ⭐
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.