Topic: "a3c"
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: 3 days ago - Pushed at: 29 days ago - Stars: 11,036 - Forks: 2,013
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: 17 days ago - Pushed at: about 1 year ago - Stars: 9,143 - Forks: 5,029
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Language: Python - Size: 99.9 MB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 7,359 - Forks: 1,605
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: 13 days ago - Pushed at: about 2 years ago - Stars: 4,237 - Forks: 874
rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
Language: Python - Size: 60.2 MB - Last synced at: 13 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: 12 days ago - Pushed at: about 2 years ago - Stars: 3,003 - Forks: 463
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: 11 days ago - Pushed at: 2 months ago - Stars: 1,277 - Forks: 274
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: 7 days ago - Pushed at: over 5 years ago - Stars: 1,265 - Forks: 281
vietnh1009/Super-mario-bros-A3C-pytorch
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Language: Python - Size: 386 MB - Last synced at: 17 days ago - Pushed at: 12 months ago - Stars: 1,078 - Forks: 234
Kismuz/btgym
Scalable, event-driven, deep-learning-friendly backtesting library
Language: Python - Size: 124 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 990 - Forks: 260
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
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: 30 days ago - Pushed at: over 6 years ago - Stars: 751 - Forks: 174
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: 12 months ago - Stars: 657 - Forks: 184
MorvanZhou/pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
Language: Python - Size: 139 KB - Last synced at: 22 days ago - Pushed at: about 2 years ago - Stars: 636 - Forks: 146
archsyscall/DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Language: Python - Size: 600 KB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 608 - Forks: 141
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
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
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
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: 20 days ago - Pushed at: about 4 years ago - Stars: 409 - Forks: 136
jaromiru/AI-blog
Accompanying repository for Let's make a DQN / A3C series.
Language: Python - Size: 19.5 KB - Last synced at: 7 days ago - Pushed at: over 6 years ago - Stars: 394 - Forks: 171
pythonlessons/Reinforcement_Learning
Reinforcement learning tutorials
Language: Python - Size: 87 MB - Last synced at: 20 days ago - Pushed at: about 2 years ago - Stars: 374 - Forks: 155
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
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
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: 7 months ago - Stars: 258 - Forks: 59
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
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: 16 days ago - Pushed at: 7 months ago - Stars: 182 - Forks: 38
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
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
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: 4 months ago - Pushed at: over 5 years ago - Stars: 163 - Forks: 24
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
simonmeister/pysc2-rl-agents
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Language: Python - Size: 123 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 131 - Forks: 39
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
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
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
kimhc6028/pytorch-noreward-rl
pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
Language: Python - Size: 27.3 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 79 - Forks: 20
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
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: about 2 years ago - Pushed at: almost 6 years ago - Stars: 75 - Forks: 29
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
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
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
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
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: about 2 years ago - Pushed at: about 7 years ago - Stars: 43 - Forks: 13
stefanbo92/A3C-Continuous
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
Language: Python - Size: 610 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 40 - Forks: 16
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: about 2 years ago - Pushed at: over 7 years ago - Stars: 39 - Forks: 16
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
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
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
ArvindSoma/a3c-super-mario-pytorch
Reinforcement Learning for Super Mario Bros using A3C on GPU
Language: Python - Size: 15.4 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 35 - Forks: 11
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: about 2 years ago - Pushed at: about 2 years ago - Stars: 32 - Forks: 11
andriusbern/nao_rl
A Reinforcement Learning framework for the NAO robot
Language: Python - Size: 43.6 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 32 - Forks: 12
jsikyoon/a3c-distributed_tensorflow
Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
Language: Python - Size: 3.74 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 30 - Forks: 7
wshuail/reinforcement_learning_with_Tensorflow
Minimal implementations of reinforcement learning algorithms by Tensorflow
Language: Python - Size: 172 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 28 - Forks: 13
Deepest-Project/WorldModels-A3C
World Models with A3C on Carracing-v0 in gym
Language: Python - Size: 2.03 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 27 - Forks: 9
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
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
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
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: about 2 years ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 2
Rahul-Choudhary-3614/Deep-Reinforcement-Learning-Notebooks
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.
Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 24 - Forks: 8
wing3s/pysc2-rl-mini
StarCraft II Reinforcement Learning with Pytorch - Mini Games
Language: Python - Size: 136 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 23 - Forks: 3
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: about 2 years ago - Pushed at: over 7 years ago - Stars: 23 - Forks: 5
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: about 5 years ago - Stars: 21 - Forks: 4
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
Zhang-Xiaoxue/RL_algorithms_Pytorch
Implement reinforcement learning algorithms in Pytorch
Language: Python - Size: 2.55 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 19 - Forks: 11
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
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
pranz24/A3C-GRU
A3C Algorithm for classic Atari games
Language: Python - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 15 - Forks: 1
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
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: about 1 year ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 2
CPUFronz/SC2_HarvesterAgent
A StarCraft 2 agent for harvesting resources
Language: Python - Size: 1.35 MB - Last synced at: 7 months ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 4
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
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
dbobrenko/reinforceflow
Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym
Language: Python - Size: 259 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 3
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: about 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 0
grananqvist/reinforcement-learning-super-mario-A3C
Learning to play supermario using A3C algorithm
Language: Python - Size: 390 KB - Last synced at: 22 days ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 6
happywu/A3C
MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"
Language: Python - Size: 6.92 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 0
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: about 1 year ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 1
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: about 2 years ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 2
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: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1
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: about 2 years ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 3
mbavar/Actor-Critic-Algs-on-Tensorflow
Distributed RL implementations
Language: Python - Size: 395 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 2
neka-nat/async-rl-noreward
Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction
Language: Python - Size: 10.8 MB - Last synced at: 13 days ago - Pushed at: almost 8 years ago - Stars: 8 - Forks: 4
RoyalSkye/Atari-DRL
Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C
Language: Python - Size: 59.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 1
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
mabirck/AttentionTRL
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
Language: Python - Size: 3.04 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 7 - 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
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
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: 25 days ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 1
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
dsinghnegi/atari_RL_agent
RL based agent for atari games
Language: Python - Size: 131 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1
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: 16 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1
pianomania/paac-pytorch
PyTorch implementation of PAAC from "Efficient Parallel Methods for Deep Reinforcement Learning"
Language: Python - Size: 43.2 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 2
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
nicklashansen/a3c
Asynchronous Advantage Actor-Critic using Generalized Advantage Estimation (PyTorch)
Language: Python - Size: 1.27 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0
akileshbadrinaaraayanan/A3C_grid_world
Simple tensorflow implementation of Asynchronous Advantage Actor-Critic (A3C) for a 2-D grid environment
Language: Python - Size: 710 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 2
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
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: about 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0
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
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
GoingMyWay/ProgressiveNeuralNetwork
😅 Progressive Neural Network, based on A3C to train agents on ViZDoom scenarios
Language: Python - Size: 180 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1
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: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 3
