activity
20202025
most citedInterpretable feature subset selection: A Shapley value based approach

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems

Utkarsh U. Chavan, Prashant Trivedi, Nandyala Hemachandra

Multi-agent systems (MAS) are central to applications such as swarm robotics and traffic routing, where agents must coordinate in a decentralized manner to achieve a common objecti…

cs.LG2023

Multi-Agent Congestion Cost Minimization With Linear Function Approximations

Prashant Trivedi, Nandyala Hemachandra

This work considers multiple agents traversing a network from a source node to the goal node. The cost to an agent for traveling a link has a private as well as a congestion compon…

cs.GT2021★ 1 cited

Noise Robust Core-Stable Coalitions of Hedonic Games

Prashant Trivedi, Nandyala Hemachandra

We consider the coalition formation games with an additional component, `noisy preferences'. Moreover, such noisy preferences are available only for a sample of coalitions. We prop…

cs.LG2021

Multi-agent Natural Actor-critic Reinforcement Learning Algorithms

Prashant Trivedi, Nandyala Hemachandra

Multi-agent actor-critic algorithms are an important part of the Reinforcement Learning paradigm. We propose three fully decentralized multi-agent natural actor-critic (MAN) algori…

stat.ML2020★ 1 cited

Interpretable feature subset selection: A Shapley value based approach

Sandhya Tripathi, N. Hemachandra, Prashant Trivedi

For feature selection and related problems, we introduce the notion of classification game, a cooperative game, with features as players and hinge loss based characteristic functio…