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Search results for network reinforcement learning
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reinforcement-learning
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86 search results found
Pytorch Tutorial
⭐
7,372
Build your neural network easy and fast, 莫烦Python中文教学
Neurojs
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4,332
A JavaScript deep learning and reinforcement learning library.
Deep Learning Roadmap
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3,139
📡 Organized Resources for Deep Learning Researchers and Developers
Muzero General
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2,203
MuZero
Deeprl Agents
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2,004
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Tensorflow2.0 Examples
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1,692
🙄 Difficult algorithm, Simple code.
Andrew Ng Notes
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1,367
This is Andrew NG Coursera Handwritten Notes.
Awesome Deep Learning Papers For Search Recommendation Advertising
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1,167
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Nlp_overview
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958
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Papers I Read
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928
A-Paper-A-Week
Hands On Meta Learning With Python
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857
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Tensorflow Tutorial
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751
TensorFlow and Deep Learning Tutorials
Deeprec
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723
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Tensorflow Value Iteration Networks
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544
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
Deep Reinforcement Learning Survey
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418
My Exploration on Deep Reinforcement Learning Survey
Sharpneat
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357
SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.
Np Hard Deep Reinforcement Learning
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231
pytorch neural combinatorial optimization
Hierarchical Actor Critic Hac Pytorch
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154
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Java Deep Learning Cookbook
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150
Code for Java Deep Learning Cookbook
Tradzqai
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136
Trading environnement for RL agents, backtesting and training.
Random Network Distillation Pytorch
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99
Random Network Distillation pytorch
Python Machine Learning Book 3rd Edition
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93
<머신 러닝 교과서 3판>의 코드 저장소
Action Branching Agents
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90
(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
Mapleai
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79
AI各领域学习资料整理。(A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.)
Deep Reinforcement Learning For Dynamic Spectrum Access
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77
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Deepqlearning.jl
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66
Implementation of the Deep Q-learning algorithm to solve MDPs
Puzzle_cube
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66
Solving the Rubik's cube with deep reinforcement learning and Monte Carlo tree search
Iroko
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60
A platform to test reinforcement learning policies in the datacenter setting.
Hebbianmetalearning
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55
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
Papers
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52
Ml In Tf
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45
Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Dream Go
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43
Artificial go player based on reinforcement and supervised learning
Emdqn
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41
Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018
Strokenet
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40
a neural network that draws digits using strokes
Ram_modified
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38
"Recurrent Models of Visual Attention" in TensorFlow
Minimal Nas
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36
Minimal implementation of a Neural Architecture Search system.
Java Deep Learning Cookbook
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35
Java Deep Learning Cookbook, published by Packt
Breakout Deep Q Network
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33
tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout
Bindsnet
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28
Simulation of spiking neural networks (SNNs) using PyTorch.
Snake Reinforcement Learning
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27
AI (A2C agent) mastering the game of Snake with TensorFlow 2.0
Batch A3c_tensorflow
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25
Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'
Visual Attention Model
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24
Chainer implementation of Deepmind's Visual Attention Model paper
Sdn Simulation
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23
Reproduce the Simulation for Software Defined Network(SDN) based on Omnetpp-5.4.1 and Reinforcement Learning Algorithm in paper "QoS-Aware Adaptive Routing in Multi-layer Hierarchical Software Defined Networks: A Reinforcement Learning Approach"
Deeplearning Papernotes
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21
Ml Research Made Easy
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19
Link of ML papers to their blogs/ supplementary material
Unsupervisedattentionmechanism
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19
Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
Deep Learning Is Awesome
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17
A curated list of deep learning tutorials, projects and other resources
Sannet
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17
SANNet Neural Network Framework
Crossgap_il_rl
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16
Reinforcement Learning Paper
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16
Sorn
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16
PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym
Deep_rl_pong_keras
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16
Deep Reinforcement Learning Policy Gradients Method - Pong game - Keras
Ml_gallery
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16
This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.
Paper Survey
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15
Dca
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15
Dynamic channel allocation in cellular networks by reinforcement learning
Multipath Nn
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15
Experiments exploring dynamic routing in artificial neural networks
Deep Reinforcement Learning Papers
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14
awesome deep learning papers for reinforcement learning
Maze_solver
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14
This project solves self-made maze in a variety of ways: A-star, Q-learning and Deep Q-network.
Paper_list
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14
Paper reading list during my graduate studies
Papers I Read
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12
Summaries and notes on recent Deep Learning literature
Ml Papers Tldr
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12
A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.
Rl_overview_note
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12
Note: "Deep Reinforcement Learning: An Overview"
Atari
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12
1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"
Memristor_rl
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12
Memristor Reinforcement Learning
Brain
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10
Simulating a primordial brain. A biological (spiking) neural network structuring itself through natural selection.
Goeshyperneat
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9
The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.
Daforge_ia
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9
Framework provides neural networks library
Deep_learning_onboarding
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8
List of resources for deep learning
Dnmc
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8
Neural Network with external Cognitive Neural Memory (2018)
Rl_2048
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8
Implementation of Deep Q-network to play the game 2048 using Keras.
Papernotes
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8
📝 Papers I read and notes/reviews I made. Also useful links to courses (RL/NLP/Bio/QC/DevOps)
Eve Mli
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8
eve-mli: making learning interesting
Dinoml
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7
An implementation of deep learning to play the google chrome no internet dinosaur game.
Deep Q Network Ataribreakoutgame
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7
Playing Atari Breakout Game with Reinforcement Learning (DQN , Deep Q Learning)
Flappybird
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7
FlappyBird Reinforcement Learning based on Pygame, OpenCV, Tensorflow
Tiny Dqn Tensorflow
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7
Tiny implementation of Deep-Q Network with Tensorflow
Pythor
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7
Template for projects in PyTorch powered with PyTorch Lightning, Telegrad and MLflow. Get updates on mobile and streamline PyTorch code for research.
Rota
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6
Routing with reinforcement learning
Rl_algorithms
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6
Implementations of different reinforcement learning algorithms
Kristools
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6
Clustor deployable custom DDPG algorithm for Multi Agent RL impleted in Tensorflow
Deeprl
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6
Standard DQN and dueling network for simple games
Luchador
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6
Toolkit for [Deep] Reinforcement Learning
Teeny Go
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5
deep-learning agent inspired by alpha go
Dqn
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5
This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.
Lycorisq
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5
A neat reinforcement learning framework based on LycorisNet.
Deepvectorpolicyfields
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5
Codebase for learning Vector Policy Fields using Reinforcement Learning Networks.
Reinforcement_learning_team_q_learnig_marl_multi_agent_uav_spectrum_task
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5
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
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