PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks

no code implementations • 5 Dec 2022 • Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary

Power grids, across the world, play an important societal and economical role by providing uninterrupted, reliable and transient-free power to several industries, businesses and household consumers.

Decision Making Management +2

Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows

no code implementations • 24 Feb 2021 • Nazneen N Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar

This paper develops an inherently parallelised, fast, approximate learning-based solution to the generic class of Capacitated Vehicle Routing Problems with Time Windows and Dynamic Routing (CVRP-TWDR).

Reinforcement Learning (RL)

A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing

no code implementations • 1 Jul 2020 • Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar, Rajesh Sinha

We propose a Deep Reinforcement Learning (Deep RL) algorithm for solving the online 3D bin packing problem for an arbitrary number of bins and any bin size.

3D Bin Packing reinforcement-learning +1