Siddharth Nayak

According to our database, Siddharth Nayak authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cooperation and Fairness in Multi-Agent Reinforcement Learning.

Jasmine Jerry Aloor, Siddharth Nayak, Sydney Dolan, Hamsa Balakrishnan

CoRR, 2024

Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments.

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

CoRR, 2024

Brief Announcement: Lock-free Learned Search Data Structure.

Gaurav Bhardwaj, Bapi Chatterjee, Abhinav Sharma, Sathya Peri, Siddharth Nayak

Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, 2024

Kanva: A Lock-free Learned Search Data Structure.

Gaurav Bhardwaj, Bapi Chatterjee, Abhinav Sharma, Sathya Peri, Siddharth Nayak

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Poster: Reducing Data Movement Tax for Serialization in Microservices.

Siddharth Nayak, Vishesh Rangwani, Kartikay Dubey, Rajorshi Mondal, Tushar Gupta, Rinku Shah

Proceedings of the 20th International Conference on emerging Networking EXperiments and Technologies, 2024

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

Siddharth Nayak, Marcus Greiff, Arvind U. Raghunathan, Stefano Di Cairano, Abraham P. Vinod

Proceedings of the American Control Conference, 2024

2023

Learned Lock-free Search Data Structures.

Gaurav Bhardwaj, Bapi Chatterjee, Abhinav Sharma, Sathya Peri, Siddharth Nayak

CoRR, 2023

Satellite Navigation and Coordination with Limited Information Sharing.

Sydney Dolan, Siddharth Nayak, Hamsa Balakrishnan

Proceedings of the Learning for Dynamics and Control Conference, 2023

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Fronto - Parietal Regions Predict Transient Emotional States in Emotion Modulated Response Inhibition via Low Frequency and Beta Oscillations.

Siddharth Nayak, Arthur C. Tsai

Symmetry, 2022

Transfer Learning for Space Traffic Management.

Sydney Dolan, Siddharth Nayak, Hamsa Balakrishnan

CoRR, 2022

NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming.

Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing.

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

CoRR, 2020

Reinforcement Learning for Improving Object Detection.

Siddharth Nayak, Balaraman Ravindran

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020