GitHub topics: a3c

Repositories

andriusbern/nao_rl

A Reinforcement Learning framework for the NAO robot

Language: Python - Size: 43.6 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 32 - Forks: 12

cvas-ug/simple-reactive-nn

On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore and Gerardo Aragon-Camarasa

Language: Python - Size: 15.9 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

pranz24/A3C-GRU

A3C Algorithm for classic Atari games

Language: Python - Size: 11.6 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 15 - Forks: 1

mabirck/modular_DeepRL

Attempt to implement A2C and PPO algorithm with modular properties of Maxout and LWTA. # UNFINISHED AND FAILED

Language: Python - Size: 25 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

mabirck/AttentionTRL

Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind

Language: Python - Size: 3.04 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

ChuaCheowHuan/reinforcement_learning

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 11

BKHMSI/Meta-RL-Harlow

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!

Language: Python - Size: 30.3 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 1

KokoMind/A3C-TF 📦

Implementing Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning". using TensorFlow

Language: Python - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

cyoon1729/Policy-Gradient-Methods 📦

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 75 - Forks: 29

nicklashansen/a3c

Asynchronous Advantage Actor-Critic using Generalized Advantage Estimation (PyTorch)

Language: Python - Size: 1.27 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

neka-nat/player_zoo

Deep reinforcement learning implementations

Language: Python - Size: 3.41 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 2

Introduction-to-Machine-Learning-Team4/CrossyRoadPlayer

Asynchronous Advantage Actor-Critic (A3C) algorithm for Crossy Road

Language: Python - Size: 599 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

RoyalSkye/Atari-DRL

Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C

Language: Python - Size: 59.9 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 1

kimhc6028/pytorch-noreward-rl

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Language: Python - Size: 27.3 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 79 - Forks: 20

ManuOtel/A3C-Mobile-Robot

Research Project in A3C reinforcement learning algorithm used for path finding mobile robots

Language: Python - Size: 678 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

seolhokim/DistributedRL-Pytorch-Ray

Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)

Language: Python - Size: 135 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 24 - Forks: 2

TroddenSpade/Exhaustive-Reinforcement-Learning

Exhaustive Implementation of Algorithms, Key Papers, and Well-Known Problems of Reinforcement Leaning

Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 0

zozero/A3C-super-mario

强化学习之超级马里奥，异步优势行动者与评论家

Language: Python - Size: 12 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Sh-Zh-7/reinforce-learning-impl

Classic reinforce learning algorithms' implementation. It will be merged with study-path repo. Implemented by Pytorch.

Language: Python - Size: 39.1 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

deepanshut041/MlAgents 📦

This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.

Language: Jupyter Notebook - Size: 4.9 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 2

onlytailei/pytorch-rl Fork of jingweiz/pytorch-rl

Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)

Language: Python - Size: 12.1 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 23 - Forks: 5

leonjovanovic/drl-policy-gradient-cartpole

PyTorch application of reinforcement learning Policy Gradient algorithms in OpenAI Cartpole - REINFORCE, Actor-Critic, A2C, A3C

Language: Python - Size: 13.5 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

dsinghnegi/atari_RL_agent

RL based agent for atari games

Language: Python - Size: 131 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

FrankCCCCC/rl_collection

Implementation of Deep Reinforcement Learning

Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

jsikyoon/a3c-distributed_tensorflow

Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning

Language: Python - Size: 3.74 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 30 - Forks: 7

CPUFronz/SC2_HarvesterAgent

A StarCraft 2 agent for harvesting resources

Language: Python - Size: 1.35 MB - Last synced at: 9 months ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 4

JIElite/pysc2-A3C

Language: Python - Size: 606 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

alirezakazemipour/A3C-ACER-PyTorch

Implementation of ACER and A3C in PyTorch.

Language: Python - Size: 128 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

fedebotu/a3c-flappy-bird

Deep Reinforcement Learning implementation in Keras of an AI controlling the popular Flappy Bird videogame, using Asynchronous Advantage Actor Critic (A3C)

Language: Python - Size: 9.79 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

dbobrenko/reinforceflow

Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym

Language: Python - Size: 259 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 3

JanGaida/super-mario-bros-with-a3c

Deep-Reinforcement-Learning with A3C in 'Super Mario Bros' (NES, 1985)

Language: Python - Size: 292 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

Grzego/async-rl

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]

Language: Python - Size: 10.8 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 43 - Forks: 13

TaoHuang13/DeepRL

Implementation of some deep RL algorithms

Language: Python - Size: 12.9 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ArvindSoma/a3c-super-mario-pytorch

Reinforcement Learning for Super Mario Bros using A3C on GPU

Language: Python - Size: 15.4 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 35 - Forks: 11

dodoseung/a3c-asynchronous-advantage-actor-critic-pytorch

The pytorch implementation of a3c

Language: Python - Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

integeruser/GA3C-cpp

A C++ implementation of the asynchronous advantage actor-critic (A3C) algorithm

Language: C++ - Size: 67.4 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 4

AmeyaWagh/Distributed_Framework_A3C_TORCS

A server-worker based distributed framework for A3C algorithm implemented for TORCS racing car simulator

Language: C++ - Size: 197 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 3

shalabhsingh/A3C_Keras_FlappyBird

Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras

Language: Python - Size: 53 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 39 - Forks: 16

kite99520/A3C-google-research-football

A simple A3C algorithm for google research football

Language: Python - Size: 21.5 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

wshuail/reinforcement_learning_with_Tensorflow

Minimal implementations of reinforcement learning algorithms by Tensorflow

Language: Python - Size: 172 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 28 - Forks: 13

amirabbasii/A3C_Kung_Fu

Language: Jupyter Notebook - Size: 1.53 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

lgc-robotics/reinforcement_learning

This page will contains most reinforcement learning algorithms.

Language: Python - Size: 385 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 2

shun60s/BipedalWalker-a3c

Cloned from a3c_continuous. Try to solve BipedalWalker-v2 move legs alternately. With input individually network and mixed environment training , try to solve BipedalWalkerHardcore-v2.

Language: Python - Size: 35.9 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

dixantmittal/a3c-pytorch-gpu

An implementation of A3C algorithm in PyTorch with GPU support

Language: Python - Size: 7.81 KB - Last synced at: 8 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

pianomania/paac-pytorch

PyTorch implementation of PAAC from "Efficient Parallel Methods for Deep Reinforcement Learning"

Language: Python - Size: 43.2 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 2

RLOpensource/Asynchronous_Advatnage_Actor_Critic

Language: Python - Size: 1.78 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

Cognitive-Systems-Laboratory/Reinforcement-Learning-Implementation

Implementing Simple and Basic Reinforcement Learning Algorithm based on PyTorch

Language: Python - Size: 135 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

kazyka/pommerman Fork of eugene/pommerman

Pommerman - A Bomberman reinforcement learning challenge in PyTorch :bomb:

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

marctuscher/a3c-cont

Asynchronous Advantage Actor Critic Algorithm for RL Problems with continuous action space.

Language: Python - Size: 36.1 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

sunghoonhong/DeepRL_tf1

Language: Python - Size: 23.1 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mishra-sid/AsyncKART

Learning to play Mario KART with Deep Reinforcement Learning using several methods with Asynchronous Actor critic advantage(A3C) agents.

Language: Python - Size: 14.1 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

happywu/A3C

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Language: Python - Size: 6.92 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 0

mbavar/Actor-Critic-Algs-on-Tensorflow

Distributed RL implementations

Language: Python - Size: 395 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 2

TTitcombe/A3C

PyTorch implementation of Asynchronous (and Synchronous) Advantage Actor Critic

Language: Python - Size: 140 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

mynkpl1998/A3C

This repository contains high quality and tested implementation of Asynchronous Actor Critic Algorithm

Language: Dockerfile - Size: 5.04 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

BenjaminBush/skeletor

AI for Prosthetics NIPS 2018 Challenge. Repo created from helper: https://github.com/seungjaeryanlee/osim-rl-helper

Language: Jupyter Notebook - Size: 329 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

steveKapturowski/async-deep-rl Fork of traai/async-deep-rl

A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783

Language: Python - Size: 660 KB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 7 - Forks: 5

Related Keywords

a3c 162 reinforcement-learning 109 pytorch 66 deep-reinforcement-learning 54 dqn 41 deep-learning 36 a2c 35 ppo 34 actor-critic 33 tensorflow 32 policy-gradient 22 openai-gym 21 ddpg 21 python 20 gym 16 sac 13 machine-learning 12 a3c-lstm 12 asynchronous-advantage-actor-critic 11 trpo 10 sarsa 10 reinforce 9 td3 9 dueling-dqn 8 q-learning 8 double-dqn 8 reinforcement-learning-algorithms 8 ddqn 8 keras 6 proximal-policy-optimization 6 atari 6 deep-q-network 6 pytorch-a3c 6 acer 5 ai 5 pysc2 5 artificial-intelligence 5 rl 5 lstm 5 neural-network 5 tutorial 5 openai 4 tensorflow2 4 soft-actor-critic 4 qlearning 4 a3c-gpu 4 algorithm 4 prioritized-experience-replay 4 pytorch-implementation 3 visdom 3 continuous-control 3 advantage-actor-critic 3 policy-gradients 3 a3c-pytorch 3 curiosity-driven 3 python3 3 dqn-pytorch 3 multi-agent-reinforcement-learning 3 a3c-algorithm 3 flappy-bird 3 atari-games 3 starcraft-ii 3 inverse-reinforcement-learning 3 vizdoom 3 super-mario-bros 3 multiprocessing 3 a3c-agent 3 deep-rl 3 pytorch-rl 3 prioritized-replay 3 gpu 3 rnd 3 super-mario 3 dppo 3 tensorboard 3 berkeley-reinforcement-learning 2 distributed-tensorflow 2 gym-environment 2 pong 2 transfer-learning 2 robotics 2 rainbow 2 deepmind 2 a3g 2 game 2 sentiment-analysis 2 minigrid 2 deep-q-learning 2 multi-process 2 hierarchical-reinforcement-learning 2 curiosity 2 doom 2 reward-shaping 2 impala 2 experience-replay 2 distributed-systems 2 d3qn 2 tensorflow-tutorials 2 acktr 2 multithreading 2