Topic: dqn Goto Github
Some thing interesting about dqn
Some thing interesting about dqn
dqn,XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Organization: agi-brain
Home Page: https://xuance.readthedocs.io/
dqn,Massively Parallel Deep Reinforcement Learning. 🔥
Organization: ai4finance-foundation
Home Page: https://ai4finance.org
dqn,The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
User: aminhp
dqn,Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
User: andri27-ts
Home Page: https://andri27-ts.github.io/Reinforcement-Learning/
dqn,TensorFlow implementation of Deep Reinforcement Learning papers
User: carpedm20
dqn,ChainerRL is a deep reinforcement learning library built on top of Chainer.
Organization: chainer
dqn,use AI to play some games.
User: charlespikachu
dqn,PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
User: chenglongchen
dqn,A PyTorch library for building deep reinforcement learning agents.
User: cpnota
dqn,Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
User: curt-park
dqn,强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Organization: datawhalechina
dqn,PyTorch implementation of deep reinforcement learning algorithms
User: dongminlee94
dqn,Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
User: fangvv
Home Page: https://fangvv.github.io/Homepage/Edgecomp/
dqn,Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
User: germain-hug
dqn,텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
User: golbin
dqn,playing idealized trading games with deep reinforcement learning
User: golsun
dqn,xingtian is a componentized library for the development and verification of reinforcement learning algorithms
Organization: huawei-noah
dqn,Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
User: iffix
dqn,Accompanying repository for Let's make a DQN / A3C series.
User: jaromiru
Home Page: https://jaromiru.com
dqn,Deep Reinforcement Learning with pytorch & visdom
User: jingweiz
dqn,Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
User: kengz
Home Page: https://slm-lab.gitbook.io/slm-lab/
dqn,Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
User: keon
Home Page: https://keon.io/deep-q-learning
dqn,🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
User: marload
dqn,Structural implementation of RL key algorithms
User: medipixel
Home Page: https://www.medipixel.io/
dqn,Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
User: minqi
dqn,A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
User: moemen95
Home Page: https://www.linkedin.com/pulse/pytorch-project-template-do-smart-way-hager-rady/?published=t
dqn,Build your neural network easy and fast, 莫烦Python中文教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/torch/
dqn,Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/reinforcement-learning/
dqn,Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/tensorflow/
dqn,Python library for Reinforcement Learning.
Organization: mushroomrl
dqn,This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
User: navneet-nmk
dqn,Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Organization: packtpublishing
Home Page: https://www.packtpub.com/big-data-and-business-intelligence/hands-intelligent-agents-openai-gym
dqn,深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Organization: paddlepaddle
dqn,Reinforcement learning tutorials
User: pythonlessons
Home Page: https://pylessons.com/
dqn,32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
User: rafael1s
dqn,DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
User: ritchiehuang
dqn,Minimal and Clean Reinforcement Learning Examples
Organization: rlcode
dqn,[파이썬과 케라스로 배우는 강화학습] 예제
Organization: rlcode
dqn,RLgraph: Modular computation graphs for deep reinforcement learning
Organization: rlgraph
dqn,Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
User: sadighian
dqn,Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
User: seungeunrho
dqn,Modularized Implementation of Deep RL Algorithms in PyTorch
User: shangtongzhang
dqn,🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
User: skylark0924
dqn,Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
User: sudharsan13296
Home Page: https://www.amazon.com/dp/1839210680/ref=cm_sw_r_tw_dp_x_0HRDFbW4MN11H
dqn,PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
User: sweetice
dqn,TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Organization: tensorflow
dqn,Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Organization: tensorlayer
Home Page: http://tensorlayerx.com
dqn,An elegant PyTorch deep reinforcement learning library.
Organization: thu-ml
Home Page: https://tianshou.org
dqn,This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
User: tianhongdai
dqn,Repo for the Deep Reinforcement Learning Nanodegree program
Organization: udacity
Home Page: https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
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