Authors: Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar and Rajesh Sinha

Reinforcement Learning for Improving Object Detection

Published in ECCV Workshops, 2020

Authors: Siddharth Nayak, Balaraman Ravindran

NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming

Published in AAAI, 2022

Authors: Luke Kenworthy, Siddharth Nayak, Christopher Chin and Hamsa Balakrishnan

Learning-based Scheduling

Published in MIT, 2022

Authors: Siddharth Nayak

Identifying Disparities in Sepsis Treatment using Inverse Reinforcement Learning

Published in NeurIPS RL4RealLife Workshop, 2022

Authors: Hyewon Jeong, Siddharth Nayak, Taylor Killian, Sanjat Kanjilal, Marzyeh Ghassemi

Satellite Navigation and Coordination with Limited Information Sharing

Published in L4DC, 2023

Authors: Sydney Dolan*, Siddharth Nayak*, Hamsa Balakrishnan

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Published in ICML, 2023

Authors: Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan

Data-Driven Monitoring with Mobile Sensors and Charging Stations using Multi-Arm Bandits and Coordinated Motion Planners

Published in ACC, 2024

Authors: Siddharth Nayak, Marcus Greiff, Arvind Raghunathan, Stefano Di Cairano, Abraham P Vinod

MAP-THOR: Benchmarking Long-Horizon Multi-Agent Planning Frameworks in Partially Observable Environments

Published in Multi-modal Foundation Model meets Embodied AI Workshop @ICML, 2024

Authors: Siddharth Nayak*, Adelmo Morrison Orozco*, Marina Ten Have, Vittal Thirumalai, Jackson Zhang, Darren Chen, Aditya Kapoor, Eric Robinson, Karthik Gopalakrishnan, James Harrison, Anuj Mahajan, Hamsa Balakrishnan