debnathr
Research Interests: Time-Sensitive Networking , 5G || Currently working on IEEE 802.1 standards, AI and ML-based optimization, heuristics, and genetic algorithm
Technical University of MunichMunich
Pinned Repositories
a-deep-rl-approach-for-sdn-routing-optimization
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
coursera
List of courses taken at Coursera and the solutions of the different courses.
DRL-GNN-PPO
PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"
End-to-end-DRL-for-FJSP
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
p4-learning
Compilation of P4 exercises, examples, documentation, slides for learning or teaching
PHD-Template
Collection of LaTeX resources and examples.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Reinforcement-Learning-Approach-to-Packet-Routing-on-a-Dynamic-Network
Packet routing simulation on a dynamic network using Shortest Path Routing, Q-learning, and Deep Q-learning
TSN_5G_integration
Code designed for MSc. Telecommunications Engineering Final Project
debnathr's Repositories
debnathr/a-deep-rl-approach-for-sdn-routing-optimization
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
debnathr/DRL-GNN-PPO
PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"
debnathr/End-to-end-DRL-for-FJSP
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
debnathr/GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
debnathr/p4-learning
Compilation of P4 exercises, examples, documentation, slides for learning or teaching
debnathr/PHD-Template
Collection of LaTeX resources and examples.
debnathr/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
debnathr/TSN_5G_integration
Code designed for MSc. Telecommunications Engineering Final Project
debnathr/AuNa
Autonomous Navigation Framework
debnathr/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
debnathr/can-for-omnet
debnathr/ConfList
Conference List with Deadlines
debnathr/CQF-based_TSN
The CQF-based TSN simulator and DRL scheduler
debnathr/CTS-Sim
debnathr/dds-tsn
Example project of DDS-TSN integration
debnathr/DRL_Scheduling_Communications
Contains the code related to our paper on scheduling and resource allocation in wireless communications.
debnathr/inet
INET Framework for the OMNeT++ discrete event simulator
debnathr/IoT2020Course
debnathr/iotg_tsn_ref_sw
IOTG Time-Sensitive Networking Reference Software
debnathr/omnet_htb
debnathr/p4pi
P4 on Raspberry Pi for Networking Education
debnathr/realtime-embedded-conferences
Conference deadline tracking on real-time systems / embedded systems / design automation and robotics.
debnathr/RealtimeHAT
Documentation and source for InnoRoutes Raspberry TSN addon HAT
debnathr/RTCSA-Paper-TestCase
debnathr/rubi-debnath.github.io
debnathr/TSN-Testbench
A real time traffic simulation.
debnathr/tsnkit
A scheduling and benchmark toolkit for Time-Sensitive Networking in Python
debnathr/tum-dissertation-latex
Latex template for a TUM dissertation/PhD thesis
debnathr/V2IV2Nsim
5G-Sim-V2I/N
debnathr/web3knowledge
A collection of links, research papers, tools, researchers, events, ... every web3 follower should know.