Ashutosh Nayyar

Ashutosh Nayyar

University of Southern California

H-index: 21

North America-United States

About Ashutosh Nayyar

Ashutosh Nayyar, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Stochastic control, Multi-agent systems, Reinforcement Learning, Game theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimal communication and control strategies in a cooperative multi-agent MDP problem

Model approximation in MDPs with unbounded per-step cost

A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent

Conditional Kernel Imitation Learning for Continuous State Environments

Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes

Weighted-norm bounds on model approximation in MDPs with unbounded per-step cost

Dynamic games among teams with delayed intra-team information sharing

Optimal symmetric strategies in multi-agent systems with decentralized information

Ashutosh Nayyar Information

University

Position

___

Citations(all)

2131

Citations(since 2020)

1197

Cited By

1532

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

43

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Ashutosh Nayyar Skills & Research Interests

Stochastic control

Multi-agent systems

Reinforcement Learning

Game theory

Top articles of Ashutosh Nayyar

Title

Journal

Author(s)

Publication Date

Optimal communication and control strategies in a cooperative multi-agent MDP problem

arXiv preprint arXiv:2104.10923

Sagar Sudhakara

Dhruva Kartik

Rahul Jain

Ashutosh Nayyar

2021/4/22

Model approximation in MDPs with unbounded per-step cost

arXiv preprint arXiv:2402.08813

Berk Bozkurt

Aditya Mahajan

Ashutosh Nayyar

Yi Ouyang

2024/2/13

A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent

Mehdi Jafarnia Jahromi

Rahul A Jain

Ashutosh Nayyar

2024/4/18

Conditional Kernel Imitation Learning for Continuous State Environments

arXiv preprint arXiv:2308.12573

Rishabh Agrawal

Nathan Dahlin

Rahul Jain

Ashutosh Nayyar

2023/8/24

Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes

arXiv preprint arXiv:2305.14736

Krishna C Kalagarla

Dhruva Kartik

Dongming Shen

Rahul Jain

Ashutosh Nayyar

...

2023/5/24

Weighted-norm bounds on model approximation in MDPs with unbounded per-step cost

Berk Bozkurt

Aditya Mahajan

Ashutosh Nayyar

Yi Ouyang

2023/12/13

Dynamic games among teams with delayed intra-team information sharing

Dynamic Games and Applications

Dengwang Tang

Hamidreza Tavafoghi

Vijay Subramanian

Ashutosh Nayyar

Demosthenis Teneketzis

2023/3

Optimal symmetric strategies in multi-agent systems with decentralized information

Sagar Sudhakara

Ashutosh Nayyar

2023/12/13

A novel point-based algorithm for multi-agent control using the common information approach

Dengwang Tang

Ashutosh Nayyar

Rahul Jain

2023/12/13

Regret Analysis of the Posterior Sampling-based Learning Algorithm for Episodic POMDPs

arXiv preprint arXiv:2310.10107

Dengwang Tang

Rahul Jain

Ashutosh Nayyar

Pierluigi Nuzzo

2023/10/16

Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints

Krishna C Kalagarla

Kartik Dhruva

Dongming Shen

Rahul Jain

Ashutosh Nayyar

...

2022/8/17

Optimal Dynamic Mechanism Design with Stochastic Supply and Flexible Consumers

IEEE Transactions on Automatic Control

Shiva Navabi

Ashutosh Nayyar

2022/6/20

Scalable regret for learning to control network-coupled subsystems with unknown dynamics

IEEE Transactions on Control of Network Systems

Sagar Sudhakara

Aditya Mahajan

Ashutosh Nayyar

Yi Ouyang

2022/6/17

Common information belief based dynamic programs for stochastic zero-sum games with competing teams

Dhruva Kartik

Ashutosh Nayyar

Urbashi Mitra

2022/6/8

A modified Thompson sampling-based learning algorithm for unknown linear systems

Mukul Gagrani

Sagar Sudhakara

Aditya Mahajan

Ashutosh Nayyar

Yi Ouyang

2022/12

Online learning for unknown partially observable mdps

Mehdi Jafarnia Jahromi

Rahul Jain

Ashutosh Nayyar

2022/5/3

Optimal communication and control strategies for a multi-agent system in the presence of an adversary

Dhruva Kartik

Sagar Sudhakara

Rahul Jain

Ashutosh Nayyar

2022/12/6

Fixed-horizon active hypothesis testing

IEEE Transactions on Automatic Control

Dhruva Kartik

Ashutosh Nayyar

Urbashi Mitra

2021/6/21

Private Information Compression in Dynamic Games among Teams

Dengwang Tang

Hamidreza Tavafoghi

Vijay Subramanian

Ashutosh Nayyar

Demosthenis Teneketzis

2021/12/14

Upper and lower values in zero-sum stochastic games with asymmetric information

Dynamic Games and Applications

Dhruva Kartik

Ashutosh Nayyar

2021/6

See List of Professors in Ashutosh Nayyar University(University of Southern California)

Co-Authors

academic-engine