Pinned Repositories
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Baoshan-Lu
Config files for my GitHub profile.
BullshitGenerator
Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.
code-dqn-cchn
Joint spectrum and power allocation for cognitive capacity harvested network with using DQN learning method
common-dqn-models
D2D-Caching-Simulation
Hybrid network simulation with base station and satellite. It enables comparing D2D caching algorithms.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Simulation-Lagrange-relaxation-based-resource-allocation-for-cchn
Baoshan-Lu's Repositories
Baoshan-Lu/code-dqn-cchn
Joint spectrum and power allocation for cognitive capacity harvested network with using DQN learning method
Baoshan-Lu/Simulation-Lagrange-relaxation-based-resource-allocation-for-cchn
Baoshan-Lu/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Baoshan-Lu/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Baoshan-Lu/interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Baoshan-Lu/-
Baoshan-Lu/Baoshan-Lu
Config files for my GitHub profile.
Baoshan-Lu/BullshitGenerator
Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.
Baoshan-Lu/common-dqn-models
Baoshan-Lu/D2D-Caching-Simulation
Hybrid network simulation with base station and satellite. It enables comparing D2D caching algorithms.
Baoshan-Lu/Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
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
Baoshan-Lu/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Baoshan-Lu/dqn
Basic DQN implementation
Baoshan-Lu/DQN_CCHN
Baoshan-Lu/drawio
Source to app.diagrams.net
Baoshan-Lu/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Baoshan-Lu/GIT-demo
demo for the usage of gitub
Baoshan-Lu/learning-to-communicate
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Baoshan-Lu/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
Baoshan-Lu/matlab-function-amend
Aim to improve some frequently used functions of Matlab platform, which can be easily implemented for simlutions in practice
Baoshan-Lu/models
Models and examples built with TensorFlow
Baoshan-Lu/Practice
Baoshan-Lu/pylru
A least recently used (LRU) cache for Python
Baoshan-Lu/rainbow-is-all-you-need
Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow
Baoshan-Lu/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Baoshan-Lu/Resource-allocation-for-D2D-Communication-HG-SA
Baoshan-Lu/RIS-Codes-Collection
A Collection Contains the Codes for RIS(IRS) Papers.
Baoshan-Lu/Spectrum_sensing
Baoshan-Lu/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Baoshan-Lu/tianshou
An elegant PyTorch deep reinforcement learning library.