4 papers
Autonomy-Aware Clustering: When Local Decisions Supersede Global Prescriptions
Amber Srivastava, Salar Basiri, Srinivasa Salapaka
Clustering arises in a wide range of problem formulations, yet most existing approaches assume that the entities under clustering are passive and strictly conform to their assigned…
Parametrized Multi-Agent Routing via Deep Attention Models
Salar Basiri, Dhananjay Tiwari, Srinivasa M. Salapaka
We propose a scalable deep learning framework for parametrized sequential decision-making (ParaSDM), where multiple agents jointly optimize discrete action policies and shared cont…
Towards Enabling Learning for Time-Varying finite horizon Sequential Decision-Making Problems*
Dhananjay Tiwari, Salar Basiri, Srinivasa Salapaka
Parameterized Sequential Decision Making (Para-SDM) framework models a wide array of network design applications spanning supply-chain, transportation, and sensor networks. These p…
A Control Barrier Function Approach to Constrained Resource Allocation Problems in a Maximum Entropy Principle Framework
Alisina Bayati, Dhananjay Tiwari, Srinivasa Salapaka
This paper presents a novel approach to solve capacitated facility location problems (FLP) that encompass various resource allocation problems. FLPs are a class of NP-hard combinat…