Siddharth Nayak

23 papers A* 3A 1B 2C 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication. AAMAS Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor, Hamsa Balakrishnan
2025	J	`jnl`	Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication. CoRR Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor, Hamsa Balakrishnan
2025	J	`jnl`	Data-driven Spatial Classification using Multi-Arm Bandits for Monitoring with Energy-Constrained Mobile Robots. CoRR Xiaoshan Lin, Siddharth Nayak, Stefano Di Cairano, Abraham P. Vinod
2025	J	`jnl`	REAMS: Reasoning Enhanced Algorithm for Maths Solving. CoRR Eishkaran Singh, Tanav Singh Bajaj, Siddharth Nayak
2024	B	`conf`	Brief Announcement: Lock-free Learned Search Data Structure. SPAA Gaurav Bhardwaj, Bapi Chatterjee, Abhinav Sharma, Sathya Peri, Siddharth Nayak
2024	J	`jnl`	Cooperation and Fairness in Multi-Agent Reinforcement Learning. CoRR Jasmine Jerry Aloor, Siddharth Nayak, Sydney Dolan, Hamsa Balakrishnan
2024	C	`conf`	Data-Driven Monitoring with Mobile Sensors and Charging Stations Using Multi-Arm Bandits and Coordinated Motion Planners. ACC Siddharth Nayak, Marcus Greiff, Arvind U. Raghunathan, Stefano Di Cairano, Abraham P. Vinod
2024	J	`jnl`	Identifying Differential Patient Care Through Inverse Intent Inference. CoRR Hyewon Jeong, Siddharth Nayak, Taylor W. Killian, Sanjat Kanjilal
2024	B	`conf`	Kanva: A Lock-free Learned Search Data Structure. ICPP Gaurav Bhardwaj, Bapi Chatterjee, Abhinav Sharma, Sathya Peri, Siddharth Nayak
2024	A*	`conf`	Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments. NeurIPS Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have, Jackson Zhang, Vittal Thirumalai, Darren Chen, Aditya Kapoor, Eric Robinson, Karthik Gopalakrishnan, James Harrison, Anuj Mahajan, Brian Ichter, Hamsa Balakrishnan
2024	J	`jnl`	Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments. CoRR Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have, Vittal Thirumalai, Jackson Zhang, Darren Chen, Aditya Kapoor, Eric Robinson, Karthik Gopalakrishnan, James Harrison, Brian Ichter, Anuj Mahajan, Hamsa Balakrishnan
2024	—	`conf`	Poster: Reducing Data Movement Tax for Serialization in Microservices. CoNEXT (Short Papers) Siddharth Nayak, Vishesh Rangwani, Kartikay Dubey, Rajorshi Mondal, Tushar Gupta, Rinku Shah
2023	J	`jnl`	Learned Lock-free Search Data Structures. CoRR Gaurav Bhardwaj, Bapi Chatterjee, Abhinav Sharma, Sathya Peri, Siddharth Nayak
2023	—	`conf`	Satellite Navigation and Coordination with Limited Information Sharing. L4DC Sydney Dolan, Siddharth Nayak, Hamsa Balakrishnan
2023	A*	`conf`	Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation. ICML Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan
2022	J	`jnl`	Fronto - Parietal Regions Predict Transient Emotional States in Emotion Modulated Response Inhibition via Low Frequency and Beta Oscillations. Symmetry Siddharth Nayak, Arthur C. Tsai
2022	A*	`conf`	NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming. AAAI Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan
2022	J	`jnl`	Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation. CoRR Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan
2022	J	`jnl`	Transfer Learning for Space Traffic Management. CoRR Sydney Dolan, Siddharth Nayak, Hamsa Balakrishnan
2021	J	`jnl`	NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming. CoRR Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan
2020	J	`jnl`	A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing. CoRR Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar, Rajesh Sinha
2020	—	`conf`	Reinforcement Learning for Improving Object Detection. ECCV Workshops (5) Siddharth Nayak, Balaraman Ravindran
2020	J	`jnl`	Reinforcement Learning for Improving Object Detection. CoRR Siddharth Nayak, Balaraman Ravindran