26 citations · 69 across the 34 of their papers we have counts for
5 papers · 1 filter
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce
Pranavi Pathakota, Kunwar Zaid, Anulekha Dhara +4
We describe a novel decision-making problem developed in response to the demands of retail electronic commerce (e-commerce). While working with logistics and retail industry busine…
A simulation driven optimization algorithm for scheduling sorting center operations
Supratim Ghosh, Aritra Pal, Prashant Kumar +4
Parcel sorting operations in logistics enterprises aim to achieve a high throughput of parcels through sorting centers. These sorting centers are composed of large circular conveyo…
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Somjit Nath, Mayank Baranwal, Harshad Khadilkar
Several real-world scenarios, such as remote control and sensing, are comprised of action and observation delays. The presence of delays degrades the performance of reinforcement l…
School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
Omkar Shelke, Hardik Meisheri, Harshad Khadilkar
Pommerman is a hybrid cooperative/adversarial multi-agent environment, with challenging characteristics in terms of partial observability, limited or no communication, sparse and d…
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows
Nazneen N Sultana, Vinita Baniwal, Ansuma Basumatary +3
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…