Jck's repositories
Bandit-and-Reinforcement-Learning
Python implementation for Reinforcement Learning algorithms -- Bandit algorithms, MDP, Dynamic Programming (value/policy iteration), Model-free Control (off-policy Monte Carlo, Q-learning)
ITU-Challenge-ML5G-PHY-RL
Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"
MARLforChannelBondingWLANs
WLAN channel access through Multi-Agent Reinforcement Learning (MARL)
MP-MAB
This project is created for the simulations of the paper: [Wang2021] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized Learning for Channel Allocation inIoT Networks over Unlicensed Bandwidth as aContextual Multi-player Multi-armed Bandit Game", to appear in IEEE Transactions on Wireless Communications, 2021.
PythonExamples
Python coding examples for wireless communication systems. This includes currently the topics of modulation such as 4-QAM, BPSK (2-PSK) with an AWGN channel and also Rayleigh fading.
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
algossim
This repository aims at learning most popular MAB and CMAB algorithms and watch how they run. It is interesting for those wishing to start learning these topics.
Bayesian-Statistics
Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
Communication_Modulation
This repository provides a simple python script for getting experience with common modulation techniques i.e. QAM, PSK, ASK and BPSK
contextual_MAB
A simple pure-python framework for dealing with the contextual multi-armed bandit problems
Deep-Reinforcement-Learning-Algorithms
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.
gnuradio
GNU Radio – the Free and Open Software Radio Ecosystem
gym
A toolkit for developing and comparing reinforcement learning algorithms.
highway-env
A minimalist environment for decision-making in autonomous driving
komm
An open-source library for Python 3 providing tools for analysis and simulation of analog and digital communication systems.
leetcode
LeetCode solutions.
Leetcode-1
🎓Leetcode solutions in Python 📚
Machine-Learning-Andrew-Ng
Full Notes of Andrew Ng's Coursera Machine Learning.
machine_learning_examples
A collection of machine learning examples and tutorials.
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
pyphysim
Simulation of Digital Communication (physical layer) in Python.
Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
reinforcement-learning-an-introduction
Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
reinforcement-learning-an-introduction-1
Python Implementation of Reinforcement Learning: An Introduction
Scalable_Deep_Reinforcement_Learning_for_Routing_and_Spectrum_Access_in_Physical_Layer
This is the repository containing the codes for the paper "Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer"