XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

A pandoc LaTeX template to convert markdown files to PDF or LaTeX.

Info package for students who are about to start working on their master thesis.

A GitHub repository associated with paper "Learn to Earn: Enabling Coordination Within a Ride-Hailing Fleet"

This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks

multi-agent-reinforcement-learning(MARL)

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos ma…

Model for LoRa networks with single or multiple gateways, quasi-orthogonality considerations, duty-cycling and channel variations.

Advanced Python Mastery (course by @dabeaz)

Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning

Project 1 of Udacity's nanodegree

Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks code

Complete LoRa physical layer (LoRa PHY) implementation in MATLAB.

A CLI chatbot that uses RAG architecture for improving and adapting LLM to specific context. It allows users to ask questions and get response directly from open-source LLMs(OpenAI, MistralAI etc.)…

An educational resource to help anyone learn deep reinforcement learning.

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

Material workbench for the master-level course CS-E4740 "Federated Learning"

Math OCR model that outputs LaTeX and markdown

Support repository for the article "Optimal number and position of flying LoRa gateways for quality of service assurance and interference reduction" submitted to ICC2024.

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

An extension of the PyMARL codebase that includes additional algorithms and environment support

About solving the tennis environment from Unity using a Multi Agent DDPG and a Multi Agent PPO

The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individu…

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications