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The Top 105 A3c Open Source Projects on Github

Tensorlayer ⭐ 6,782
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Reinforcement Learning With Tensorflow ⭐ 5,721
Simple Reinforcement learning tutorials
Easy Rl ⭐ 2,913
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
Reinforcement Learning ⭐ 2,797
Minimal and Clean Reinforcement Learning Examples
Minimalrl ⭐ 1,944
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Deep Reinforcement Learning With Pytorch ⭐ 1,645
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Slm Lab ⭐ 987
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Btgym ⭐ 825
Scalable, event-driven, deep-learning-friendly backtesting library
Pytorch A3c ⭐ 768
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Super Mario Bros A3c Pytorch ⭐ 735
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Pytorch Rl ⭐ 703
Deep Reinforcement Learning with pytorch & visdom
Async_deep_reinforce ⭐ 560
Asynchronous Methods for Deep Reinforcement Learning
Rl_a3c_pytorch ⭐ 459
A3C LSTM Atari with Pytorch plus A3G design
Deep Rl Keras ⭐ 436
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Rl Starter Files ⭐ 388
RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code
Reinforcement_learning_tutorial_with_demo ⭐ 357
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..
Rl4j ⭐ 329
Deep Reinforcement Learning for the JVM (Deep-Q, A3C)
Pytorch A3c ⭐ 289
Simple A3C implementation with pytorch + multiprocessing
Pysc2 Agents ⭐ 245
This is a simple implementation of DeepMind's PySC2 RL agents.
Rlcycle ⭐ 208
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
A3c_continuous ⭐ 202
A continuous action space version of A3C LSTM in pytorch plus A3G design
Tensorflow Rl ⭐ 173
Implementations of deep RL papers and random experimentation
Baby A3c ⭐ 153
A high-performance Atari A3C agent in 180 lines of PyTorch
Deeprl Tensorflow2 ⭐ 139
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Street Fighter A3c Icm Pytorch ⭐ 106
Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike
A3c Pytorch ⭐ 105
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
Reinforcement_learning ⭐ 104
Reinforcement learning tutorials
Pysc2 Rl Agents ⭐ 99
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Deep Reinforcement Learning With Python ⭐ 94
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Reinforcementlearning Atarigame ⭐ 87
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
Yarll ⭐ 82
Combining deep learning and reinforcement learning.
Pytorch Noreward Rl ⭐ 72
pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
Pytorch A3c Mujoco ⭐ 62
Implement A3C for Mujoco gym envs
A3c ⭐ 60
Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
Deep Reinforcement Learning Applied To Doom ⭐ 57
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
Torch Ac ⭐ 51
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Tf A3c Gpu ⭐ 48
Tensorflow implementation of A3C algorithm
Async Rl ⭐ 44
Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]
Policy Gradient Methods ⭐ 35
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
A3c_keras_flappybird ⭐ 32
Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras
A3c Distributed_tensorflow ⭐ 30
Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
Deep_rl_acrobot ⭐ 30
TensorFlow A2C to solve Acrobot, with synchronized parallel environments
A3c Super Mario Pytorch ⭐ 28
Reinforcement Learning for Super Mario Bros using A3C on GPU
Cups Rl ⭐ 27
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
A3c Continuous ⭐ 27
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
Reinforcement_learning_with_tensorflow ⭐ 25
Minimal implementations of reinforcement learning algorithms by Tensorflow
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
A3c Crypto Trader ⭐ 20
Deep Reinforcement Learning A3C Crypto Trading Bot
A3c ⭐ 20
PyTorch implementation of "Asynchronous advantage actor-critic"
Bombora ⭐ 19
My experimentations with Reinforcement Learning in Pytorch
Ga3c Cpp ⭐ 16
A C++ implementation of the asynchronous advantage actor-critic (A3C) algorithm
Pysc2 Rl Mini ⭐ 16
StarCraft II Reinforcement Learning with Pytorch - Mini Games
Rl Bigwatermelon ⭐ 15
用深度强化学习玩合成大西瓜
Deep Reinforcement Learning Notebooks ⭐ 13
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.
A3c ⭐ 11
MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"
Rl_algorithms ⭐ 10
Take the code of the reinforcement learning algorithm here~
Reinforcement Learning Super Mario A3c ⭐ 10
Learning to play supermario using A3C algorithm
Policy_based_rl ⭐ 10
The implement of the policy gradient RL algorithm with pytorch
L2rpn Using A3c ⭐ 10
Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/22845#learn_the_details-overview). The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet). It is released under a license of LGPLv3
Drlbox ⭐ 9
Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.
Sc2_harvesteragent ⭐ 9
A StarCraft 2 agent for harvesting resources
Reinforceflow ⭐ 9
Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym
Pommerman ⭐ 9
💣 Bomberman deep reinforcement learning challenge in PyTorch
Nao_rl ⭐ 9
A Reinforcement Learning framework for the NAO robot
Async Rl Noreward ⭐ 9
Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction
Worldmodels A3c ⭐ 9
World Models with A3C on Carracing-v0 in gym
Generic Hierarchical Deep Reinforcement Learning For Sentiment Analysis ⭐ 8
A3C and generic hierarchical RL for sentiment analysis tasks
Actor Critic Algs On Tensorflow ⭐ 8
Distributed RL implementations
Deep Reinforcement Learning With Pytorch ⭐ 8
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
A3c Gru ⭐ 7
A3C Algorithm for classic Atari games
Mlagents ⭐ 7
This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.
Paac Pytorch ⭐ 5
PyTorch implementation of PAAC from "Efficient Parallel Methods for Deep Reinforcement Learning"
Attentiontrl ⭐ 5
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
Plato ⭐ 5
Reinforcement learning for Robocode.
Simple Reactive Nn ⭐ 5
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore and Gerardo Aragon-Camarasa
Nz_space_challenge ⭐ 4
A single end-to-end deep learning solution to identify and traverse crevasses in Antarctica for safer, more efficient navigation
Reinforcement_learning ⭐ 4
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
Atari_rl_agent ⭐ 4
RL based agent for atari games
A3c_grid_world ⭐ 4
Simple tensorflow implementation of Asynchronous Advantage Actor-Critic (A3C) for a 2-D grid environment
Asynchronous Rl Agent ⭐ 4
Try to implement strong RL-agent
Framework For Actor Critic Deep Reinforcement Learning Algorithms ⭐ 4
Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.
Deeprl ⭐ 4
TensorFlow implementation of deep reinforcement learning
Distributed_framework_a3c_torcs ⭐ 3
A server-worker based distributed framework for A3C algorithm implemented for TORCS racing car simulator
Ttic Programming Requirement ⭐ 3
submission to TTI-Chicago programming requirement
Asynchronous Advantage Actor Critic ⭐ 3
Algorithm for learning how to perform tasks with only pixels and rewards as the agents understanding of the environment. The agent can learn how to play various atari games.
Progressiveneuralnetwork ⭐ 3
😅 Progressive Neural Network, based on A3C to train agents on ViZDoom scenarios
Skeletor ⭐ 2
AI for Prosthetics NIPS 2018 Challenge. Repo created from helper: https://github.com/seungjaeryanlee/osim-rl-helper
Tf_a3c_bipedalwalker ⭐ 2
BipedalWalker environment from gym, solved with Asynchronous Advantage Actor Critic algorithm using Tensorflow.
Rl_toy_example ⭐ 2
Deep RL toy example based on gym package with several methods
Player_zoo ⭐ 2
Deep reinforcement learning implementations
Curiosity Driven A2c ⭐ 2
Implementation of Curiosity-Driven Exploration with PyTorch
A3c Flappy Bird ⭐ 1
Deep Reinforcement Learning implementation in Keras of an AI controlling the popular Flappy Bird videogame, using Asynchronous Advantage Actor Critic (A3C)
Reinforcement Learning ⭐ 1
Tensorflow implementation of Reinforcement Learning methods for Atari 2600.
Deep Reinforcement Learning A3c ⭐ 1
Repository containing material regarding a modified version of the Berkeley Deep reinforcement learning course and an implementation of A3C as a project
Machine Learning ⭐ 1
Projects or classes about ML
Super Mario Bros With A3c ⭐ 1
Deep-Reinforcement-Learning with A3C in 'Super Mario Bros' (NES, 1985)
Meta Rl Harlow ⭐ 1
PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two papers. Check the ReadMe for more details!
A3c Cont ⭐ 1
Asynchronous Advantage Actor Critic Algorithm for RL Problems with continuous action space.
Simple Pytorch Ppo A2c A3c Dqn ⭐ 1
PyTorch implementation of reinforcement learning algorithm, such as PPO, A2C, A3C, DQN... very easy to read and understand
Pytorch Rl ⭐ 1
RL & Pytorch
1-100 of 105 projects

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