Starred repositories
My Bachelor's thesis implementation, using concepts of Game Theory and Auction Theory to develop auction strategies to solve the problem of allocating Virtual Network Functions to 5G network client…
Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
The source code for the paper titled Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
Tips for Writing a Research Paper using LaTeX
Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Implementation of the greedy heuristic algorithm in Python 3.6 of the following paper: M. Obadia, J.-L. Rougier, L. Iannone, M. Bouet, V. Conan. Elastic Network Service Provisioning with VNF Auctio…
Reimplementing existing learning-based ABR algorithms for dynamic video streaming. These algorithms were implemented with Pytorch and python3
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
A PyTorch Library for Meta-learning Research
A PyTorch Library for Reinforcement Learning Research
Code snippets of Meta Reinforcement Learning algorithms
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews 965C , and developing research plans.
Examples of how to create colorful, annotated equations in Latex using Tikz.
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Implementation of an agent-based model extending the Lewis-Skyrms Signaling game with Roth-Erev reinforcement learning
The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling
Reinforcement Learning Algorithms Based on PyTorch
Mobility-Aware Proactive Edge Caching OptimizationScheme in Information-Centric IoV Networks
This is the repository for the collection of surveys and reviews in communication and networking domains.
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
An educational resource to help anyone learn deep reinforcement learning.