Baoshan Lu's repositories
TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Baoshan-Lu
Config files for my GitHub profile.
RIS-Codes-Collection
A Collection Contains the Codes for RIS(IRS) Papers.
tianshou
An elegant PyTorch deep reinforcement learning library.
BullshitGenerator
Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.
drawio
Source to app.diagrams.net
D2D-Caching-Simulation
Hybrid network simulation with base station and satellite. It enables comparing D2D caching algorithms.
code-dqn-cchn
Joint spectrum and power allocation for cognitive capacity harvested network with using DQN learning method
rainbow-is-all-you-need
Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow
matlab-function-amend
Aim to improve some frequently used functions of Matlab platform, which can be easily implemented for simlutions in practice
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
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
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。
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
GIT-demo
demo for the usage of gitub
pylru
A least recently used (LRU) cache for Python
learning-to-communicate
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
models
Models and examples built with TensorFlow
dqn
Basic DQN implementation