GitHub topics: a3c

Repositories

ikostrikov/pytorch-a3c

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

Language: Python - Size: 205 KB - Last synced at: 2 days ago - Pushed at: over 5 years ago - Stars: 1,265 - Forks: 281

jaromiru/AI-blog

Accompanying repository for Let's make a DQN / A3C series.

Language: Python - Size: 19.5 KB - Last synced at: 3 days ago - Pushed at: over 6 years ago - Stars: 394 - Forks: 171

sweetice/Deep-reinforcement-learning-with-pytorch

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

Language: Python - Size: 42.1 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 4,237 - Forks: 874

tensorlayer/TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Language: Python - Size: 99.9 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 7,354 - Forks: 1,606

rlcode/reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

Language: Python - Size: 60.2 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 3,506 - Forks: 738

seungeunrho/minimalRL

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

Language: Python - Size: 60.5 KB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 3,003 - Forks: 463

vietnh1009/Super-mario-bros-A3C-pytorch

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Language: Python - Size: 386 MB - Last synced at: 13 days ago - Pushed at: 12 months ago - Stars: 1,078 - Forks: 234

datawhalechina/easy-rl

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

Language: Jupyter Notebook - Size: 516 MB - Last synced at: 13 days ago - Pushed at: 24 days ago - Stars: 10,882 - Forks: 2,000

MorvanZhou/Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Language: Python - Size: 428 KB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 9,143 - Forks: 5,029

archsyscall/DeepRL-TensorFlow2

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

Language: Python - Size: 600 KB - Last synced at: 17 days ago - Pushed at: almost 3 years ago - Stars: 608 - Forks: 141

sudharsan13296/Deep-Reinforcement-Learning-With-Python

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

Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 409 - Forks: 136

kengz/SLM-Lab

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

Language: Python - Size: 4.08 MB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 1,277 - Forks: 274

MorvanZhou/pytorch-A3C

Simple A3C implementation with pytorch + multiprocessing

Language: Python - Size: 139 KB - Last synced at: 17 days ago - Pushed at: about 2 years ago - Stars: 636 - Forks: 146

pythonlessons/Reinforcement_Learning

Reinforcement learning tutorials

Language: Python - Size: 87 MB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 374 - Forks: 155

omerbsezer/Reinforcement_learning_tutorial_with_demo 📦

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..

Language: Jupyter Notebook - Size: 151 KB - Last synced at: 25 days ago - Pushed at: about 6 years ago - Stars: 751 - Forks: 174

Nasdin/ReinforcementLearning-AtariGame

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

Language: Python - Size: 113 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 182 - Forks: 38

legalaspro/rl-odyssey

RL-Odyssey is a research framework for continuous control that implements state-of-the-art RL algorithms (SAC, TD3, PPO, etc.) with clean experiment scripts and interactive notebooks.

Language: Jupyter Notebook - Size: 66 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Allenpandas/Tutorial4RL

Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

Size: 4.17 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 140 - Forks: 12

Kismuz/btgym

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

Language: Python - Size: 124 MB - Last synced at: 28 days ago - Pushed at: over 3 years ago - Stars: 990 - Forks: 260

gianluca-maselli/A3C

PyTorch implementation of A3C (Asynchronous Advantage Actor Critic)

Language: Python - Size: 9.54 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

nailo2c/a3c

PyTorch implementation of "Asynchronous advantage actor-critic"

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 20 - Forks: 5

dgriff777/a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

Language: Python - Size: 62.1 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 258 - Forks: 59

vietnh1009/Street-fighter-A3C-ICM-pytorch

Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

Language: Python - Size: 75.2 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 163 - Forks: 24

gxywy/rl-bigwatermelon

用深度强化学习玩合成大西瓜

Language: JavaScript - Size: 1.24 MB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 25 - Forks: 6

lcswillems/rl-starter-files

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

Language: Python - Size: 27.4 MB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 657 - Forks: 184

jingweiz/pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

Language: Python - Size: 12.1 MB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 798 - Forks: 143

lcswillems/torch-ac

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

Language: Python - Size: 23.4 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 192 - Forks: 66

mehdiboubnan/Deep-Reinforcement-Learning-applied-to-DOOM

DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM

Language: Python - Size: 171 MB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 83 - Forks: 16

jianzhnie/ScaleRL

ScaleRL is a simple and scalable distributed reinforcement learning framework based on Python and PyTorch

Language: Python - Size: 221 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

arnomoonens/yarll

Combining deep learning and reinforcement learning.

Language: Python - Size: 2.83 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 81 - Forks: 28

miyosuda/async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

Language: Python - Size: 299 KB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 592 - Forks: 192

dhritishetty/A3C-for-Kung-Fu

An AI agent trained using the Asynchronous Advantage Actor-Critic algorithm to play and master the classic arcade game Kung Fu.

Language: Jupyter Notebook - Size: 149 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

jk96491/RL_Algorithms

Take the code of the reinforcement learning algorithm here~

Language: Python - Size: 649 KB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 0

hishamcse/Advanced-DRL-Renegades-Game-Bots

A collection of my implemented advanced & complex RL agents for games like Soccer, Street Fighter, Mortal Kombat, Rubik's Cube, Vizdoom, Montezuma, Kungfu-master, Super-Mario-bros, HalfCheetah and more by implementing advanced DRL concepts like decision transformers, RND, MARL, A3C, ICM & sample_factory. To see my other rl agents please visit

Language: Jupyter Notebook - Size: 119 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

WielkaDraka/AI_Pacman_A3C

AI playing Packman. This AI model is based on A3C (Asynchronous Advantage Actor Critic) algoritm

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

CaptainE/Deep-reinforcement-learning-A3C

Repository containing material regarding a modified version of the Berkeley Deep reinforcement learning course and an implementation of A3C as a project

Language: Python - Size: 10.8 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

msokoloff1/Asynchronous-Advantage-Actor-Critic

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.

Language: Python - Size: 188 KB - Last synced at: 30 days ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 0

GonFreecsHxH/A3C-RL-baseline-agent-for-Grid2Op-environment

This A3C reinforcement learning code is implemented for tensorflow 2.0 and it is focused to demonstrate the implementation of a multi-threading agent (A3C) on [Grid2Op](https://github.com/rte-france/Grid2Op) environment.

Language: Python - Size: 2.02 MB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 5

zakaryaxali/deeprl_a3c

Projet ENSAE - Element logiciels pour le traitement de donnees massives - Quentin Spalla, Zakarya Ali

Language: Python - Size: 6.68 MB - Last synced at: 10 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

confiwent/NeuralABR-Pensieve-PPO-MAML

Reimplementing existing learning-based ABR algorithms for dynamic video streaming. These algorithms were implemented with Pytorch and python3

Language: Python - Size: 7.3 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 25 - Forks: 2

deligentfool/policy_based_RL

The implement of the policy gradient RL algorithm with pytorch

Language: Python - Size: 92.8 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 35 - Forks: 6

akain0/Reinforcement-Learning-

Projects and Models built in Python leveraging PyTorch, implementing Reinforcement Learning algorithms for reward-based tasks.

Language: Jupyter Notebook - Size: 693 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

grananqvist/reinforcement-learning-super-mario-A3C

Learning to play supermario using A3C algorithm

Language: Python - Size: 390 KB - Last synced at: 17 days ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 6

PoCInnovation/Open-Zero

Open-zero is a research project aiming to realize the various projects of the company DeepMind

Language: Python - Size: 575 KB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 0

gooooloo/DLIB

Language: Python - Size: 39.1 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

victor-iyi/deep-RL

Exploration of deep reinforcement learning and various state-of-the-art techniques to create a turely autonomous agent.

Language: Python - Size: 61.5 KB - Last synced at: 12 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

MZayed47/A3C_Agent

The Asynchronous Advantage Actor Critic (A3C) algorithm is one of the newest algorithms to be developed under the field of Deep Reinforcement Learning Algorithms. This algorithm was developed by Google’s DeepMind which is the Artificial Intelligence division of Google. In this repository, I have my implementations of A3C on Cartpole game, Robot arm, etc.

Language: Python - Size: 4.81 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

dgriff777/rl_a3c_pytorch

A3C LSTM Atari with Pytorch plus A3G design

Language: Python - Size: 99.4 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 554 - Forks: 118

weiji14/nz_space_challenge

A prototype end-to-end deep learning solution to identify and traverse crevasses in Antarctica for safer navigation. Uses supervised classification and reinforcement learning.

Language: Jupyter Notebook - Size: 130 MB - Last synced at: 21 days ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 1

hudsontek/ikostrikov-pytorch-a3c

Forked from ikostrikov's repo. Changes made to adapt to new software versions(as of Jan 2021), and run on Linux.

Language: Python - Size: 207 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

fantajeon/tf-a3c-gpu-python3.6.5 Fork of hiwonjoon/tf-a3c-gpu

Tensorflow implementation of A3C algorithm

Language: Python - Size: 9.01 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 2

onlytailei/A3C-PyTorch

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

Language: Python - Size: 2.21 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 114 - Forks: 22

Francesco-Sovrano/Framework-for-Actor-Critic-deep-reinforcement-learning-algorithms

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.

Language: Python - Size: 15.5 MB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 1

hartikainen/berkeley-cs294

Berkeley CS 294: Deep Reinforcement Learning

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: 18 days ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 2

steveKapturowski/tensorflow-rl

Implementations of deep RL papers and random experimentation

Language: Python - Size: 6.37 MB - Last synced at: 10 months ago - Pushed at: about 7 years ago - Stars: 177 - Forks: 47

dmsovetov/reinforcement

Deep reinforcement learning experiments

Language: Python - Size: 32.2 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

georgesung/deep_rl_acrobot

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Language: Python - Size: 368 KB - Last synced at: 12 months ago - Pushed at: about 7 years ago - Stars: 35 - Forks: 10

tropical32/gym-pole-balancing

Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

tropical32/mountain-car-a3c

Language: Python - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

tropical32/connect-four-ai

Language: Python - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

falcondai/ttic-programming-requirement

submission to TTI-Chicago programming requirement

Language: Python - Size: 148 KB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 2 - Forks: 0

yujansaya/a3c_agent_pytorch

This code implements an Asynchronous Advantage Actor-Critic (A3C) algorithm using PyTorch to train an agent to play the Atari game "Boxing"

Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

cyoon1729/RLcycle

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Language: Python - Size: 3.52 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 288 - Forks: 62

Allenpandas/2017-Reinforcement-Learning-Conferences-Papers 📦

The proceedings of top conference in 2017 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.

Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

dknathalage/deep-rl

My implementations of popular reinforcement learning methods based on other developers and research papers.

Language: Python - Size: 4.57 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

GSJProgo/RL-Catan

PyTorch-based reinforcement learning implementation of A3C and DQN algorithms for a 2-player Catan environment

Language: Python - Size: 231 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hiwonjoon/tf-a3c-gpu

Tensorflow implementation of A3C algorithm

Language: Python - Size: 8.93 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 48 - Forks: 12

andrewliao11/pytorch-a3c-mujoco

Implement A3C for Mujoco gym envs

Language: Python - Size: 230 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 73 - Forks: 20

Francesco-Sovrano/Generic-Hierarchical-Deep-Reinforcement-Learning-for-Sentiment-Analysis

A3C and generic hierarchical RL for sentiment analysis tasks

Language: Python - Size: 72.6 MB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 2

KornbergFresnel/AsyncRL

A repository for the reproduction of async RL algorithms

Language: Python - Size: 40 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

LxzGordon/Deep-Reinforcement-Learning-with-pytorch

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

Language: Python - Size: 82 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 76 - Forks: 13

yazzaoui/A3C-Crypto-Trader

Deep Reinforcement Learning A3C Crypto Trading Bot

Language: Python - Size: 2.57 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 38 - Forks: 19

germain-hug/Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Language: Python - Size: 2.84 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 496 - Forks: 148

xiaowei-hu/pysc2-agents

This is a simple implementation of DeepMind's PySC2 RL agents.

Language: Python - Size: 6.54 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 271 - Forks: 79

eugene/pommerman

:bomb: Bomberman deep reinforcement learning challenge in PyTorch

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 25 - Forks: 6

spring01/drlbox

Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.

Language: Python - Size: 374 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 12 - Forks: 3

greydanus/baby-a3c

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

Language: Python - Size: 81.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 167 - Forks: 43

neka-nat/async-rl-noreward

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

Language: Python - Size: 10.8 MB - Last synced at: 9 days ago - Pushed at: almost 8 years ago - Stars: 8 - Forks: 4

galinator9000/tf_A3C_BipedalWalker

BipedalWalker environment from gym, solved with Asynchronous Advantage Actor Critic algorithm using Tensorflow.

Language: Python - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

Muff1nz/PygameDeepRLAgent

A project about making A3C agents learn simple games made with pygame

Language: Python - Size: 139 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1

mr4msm/rl_danmaku

Simple danmaku game and RL environment for it.

Language: Python - Size: 50 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

Yangyangii/Curiosity-Driven-A2C

Implementation of Curiosity-Driven Exploration with PyTorch

Language: Jupyter Notebook - Size: 329 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 2

andreimuntean/A3C

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

Language: Python - Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 66 - Forks: 24

scientist1642/bombora

My experimentations with Reinforcement Learning in Pytorch

Language: Python - Size: 3.03 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 19 - Forks: 2

dodoseung/deep-learning-pytorch

The pytorch implementation of deep learning

Size: 118 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

nathanwispinski/meta-rl

A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.

Language: Jupyter Notebook - Size: 227 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0

DarriusL/DRL-ExampleCode

Implementation code when learning deep reinforcement learning

Language: Python - Size: 190 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

Nhat-Thanh/PixelRL-SR

Pytorch implementation of Super-Resolution model using Multi-Step Reinforcement Learning

Language: Python - Size: 154 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 1

weiyx16/RL_Toy_Example

Deep RL toy example based on gym package with several methods

Language: Python - Size: 1.03 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

TheMTank/cups-rl

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"

Language: Python - Size: 55.2 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 44 - Forks: 7