Yi Ouyang

Orcid: 0000-0003-0556-4393

Affiliations:
  • University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
  • University of California, Department of Industrial and Operation Engineering, Berkeley, CA, USA (former)
  • University of Michigan, Department of EECS, Ann Arbor, MI, USA (PhD 2016)


According to our database1, Yi Ouyang authored at least 42 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Model approximation in MDPs with unbounded per-step cost.
CoRR, 2024

2023
Scalable Regret for Learning to Control Network-Coupled Subsystems With Unknown Dynamics.
IEEE Trans. Control. Netw. Syst., March, 2023

An Approach to Stochastic Dynamic Games with Asymmetric Information and Hidden Actions.
CoRR, 2023

Weighted-Norm Bounds on Model Approximation in MDPs with Unbounded Per-Step Cost.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Unified Approach to Dynamic Decision Problems With Asymmetric Information: Nonstrategic Agents.
IEEE Trans. Autom. Control., 2022

Signaling for decentralized routing in a queueing network.
Ann. Oper. Res., 2022

A modified Thompson sampling-based learning algorithm for unknown linear systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Optimal Infinite Horizon Decentralized Networked Controllers With Unreliable Communication.
IEEE Trans. Autom. Control., 2021

Worst-Case Guarantees for Remote Estimation of an Uncertain Source.
IEEE Trans. Autom. Control., 2021

A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems.
CoRR, 2021

Thompson sampling for linear quadratic mean-field teams.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Online Learning in Planar Pushing with Combined Prediction Model.
Proceedings of the 2021 American Control Conference, 2021

2020
Large-Scale Traffic Signal Offset Optimization.
IEEE Trans. Control. Netw. Syst., 2020

Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems.
IEEE Trans. Autom. Control., 2020

Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019
Game Theoretic Approaches to Cyber Security: Challenges, Results, and Open Problems.
Proceedings of the Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019

An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching.
IEEE Trans. Commun., 2019

Optimal Local and Remote Controllers With Unreliable Uplink Channels.
IEEE Trans. Autom. Control., 2019

2018
A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part II: Strategic Agents.
CoRR, 2018

A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part I: Non-Strategic Agents.
CoRR, 2018

A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

A Sufficient Information Approach to Decentralized Decision Making.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Conic Approximation with Provable Guarantee for Traffic Signal Offset Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Optimal local and remote controllers with unreliable communication: the infinite horizon case.
Proceedings of the 2018 Annual American Control Conference, 2018

Decentralized Control of Stochastically Switched Linear System with Unreliable Communication.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Dynamic Games With Asymmetric Information: Common Information Based Perfect Bayesian Equilibria and Sequential Decomposition.
IEEE Trans. Autom. Control., 2017

Learning-based Control of Unknown Linear Systems with Thompson Sampling.
CoRR, 2017

Learning Unknown Markov Decision Processes: A Thompson Sampling Approach.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Stochastic teams with randomized information structures.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Control of unknown linear systems with Thompson sampling.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
On stochastic dynamic games with delayed sharing information structure.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimal local and remote controllers with unreliable communication.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On the existence of near-optimal fixed time control of traffic intersection signals.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
A Common Information-Based Multiple Access Protocol Achieving Full Throughput and Linear Delay.
CoRR, 2015

A common information-based multiple access protocol achieving full throughput.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Optimal relay selection with non-negligible probing time.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Dynamic oligopoly games with private Markovian dynamics.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
On the Optimality of Myopic Sensing in Multi-State Channels.
IEEE Trans. Inf. Theory, 2014

Balancing through signaling in decentralized routing.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
A routing problem in a simple queueing system with non-classical information structure.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
On the optimality of a myopic policy in multi-state channel probing.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012


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