Kyriakos G. Vamvoudakis

According to our database1, Kyriakos G. Vamvoudakis authored at least 64 papers between 2009 and 2019.

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

Timeline

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Bibliography

2019
Kinodynamic Motion Planning With Continuous-Time Q-Learning: An Online, Model-Free, and Safe Navigation Framework.
IEEE Trans. Neural Netw. Learning Syst., 2019

Non-equilibrium dynamic games and cyber-physical security: A cognitive hierarchy approach.
Systems & Control Letters, 2019

Distributed output-feedback model predictive control for multi-agent consensus.
Systems & Control Letters, 2019

An Adaptive Actuation Mechanism for Anthropomorphic Robot Hands.
Front. Robotics and AI, 2019

A Predictive Deep Learning Approach to Output Regulation: The Case of Collaborative Pursuit Evasion.
CoRR, 2019

Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation.
CoRR, 2019

A Compliant, Underactuated Finger for Anthropomorphic Hands.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

A Secure Control Learning Framework for Cyber-Physical Systems under Sensor Attacks.
Proceedings of the 2019 American Control Conference, 2019

Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure.
Proceedings of the 2019 American Control Conference, 2019

Robust Kinodynamic Motion Planning using Model-Free Game-Theoretic Learning.
Proceedings of the 2019 American Control Conference, 2019

Switching for Unpredictability: A Proactive Defense Control Approach.
Proceedings of the 2019 American Control Conference, 2019

An Intermittent Learning Algorithm for High-Speed Autonomous Driving in Unknown Environments.
Proceedings of the 2019 American Control Conference, 2019

Non-Equilibrium Learning and Cyber-Physical Security.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Optimal and Autonomous Control Using Reinforcement Learning: A Survey.
IEEE Trans. Neural Netw. Learning Syst., 2018

Cooperative Q-Learning for Rejection of Persistent Adversarial Inputs in Networked Linear Quadratic Systems.
IEEE Trans. Automat. Contr., 2018

Game-Theory-Based Consensus Learning of Double-Integrator Agents in the Presence of Worst-Case Adversaries.
J. Optimization Theory and Applications, 2018

Model-free event-triggered control algorithm for continuous-time linear systems with optimal performance.
Autom., 2018

A multi-step and resilient predictive Q-learning algorithm for IoT: a case study in water supply networks.
Proceedings of the 8th International Conference on the Internet of Things, 2018

A model free learning algorithm to control autonomous streams over IoT.
Proceedings of the 8th International Conference on the Internet of Things, 2018

Dynamic Intermittent Q-Learning for Systems with Reduced Bandwidth.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Enforcing Signal Temporal Logic Specifications in Multi-Agent Adversarial Environments: A Deep Q-Learning Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Adaptive Control for Mitigating Sensor and Actuator Attacks in Connected Autonomous Vehicle Platoons.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Model-Free Event-Triggered Containment Control of Multi-Agent Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Online Optimal Operation of Parallel Voltage-Source Inverters Using Partial Information.
IEEE Trans. Industrial Electronics, 2017

Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach.
Systems & Control Letters, 2017

Active-Bayesian learning for cooperation connectivity in dynamic cyber-physical-human systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Stochastic zero-sum nash games for uncertain nonlinear Markovian jump systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distributed optimal synchronization control of linear networked systems under unknown dynamics.
Proceedings of the 2017 American Control Conference, 2017

A neuro-adaptive architecture for extremum seeking control using hybrid learning dynamics.
Proceedings of the 2017 American Control Conference, 2017

Adaptive optimal observer design via approximate dynamic programming.
Proceedings of the 2017 American Control Conference, 2017

2016
Asymptotically Stable Adaptive-Optimal Control Algorithm With Saturating Actuators and Relaxed Persistence of Excitation.
IEEE Trans. Neural Netw. Learning Syst., 2016

Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control.
Autom., 2016

Game-theoretic tracking control for actuator attack attenuation in cyber-physical systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Event-triggered H-infinity control for unknown continuous-time linear systems using Q-learning.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimal trajectory Output Tracking control with a Q-learning algorithm.
Proceedings of the 2016 American Control Conference, 2016

Online optimal auto-tuning of PID controllers for tracking in a special class of linear systems.
Proceedings of the 2016 American Control Conference, 2016

2015
7. New Methods and Techniques in Online Control and Learning.
Proceedings of the Advanced Autonomous Vehicle Design for Severe Environments, 2015

Terrorist Threats, Agile Vehicle Trajectory Deviation and Critical Reposition in Interaction with Environment.
Proceedings of the Advanced Autonomous Vehicle Design for Severe Environments, 2015

Past, Present and Future of Control Theory Applied to Autonomous Agents.
Proceedings of the Advanced Autonomous Vehicle Design for Severe Environments, 2015

Neural Control and Approximate Dynamic Programming.
Proceedings of the Encyclopedia of Systems and Control, 2015

Non-zero sum Nash Q-learning for unknown deterministic continuous-time linear systems.
Autom., 2015

Model-free plug-n-play optimization techniques to design autonomous and resilient complex systems.
Proceedings of the American Control Conference, 2015

Autonomy and machine intelligence in complex systems: A tutorial.
Proceedings of the American Control Conference, 2015

Disturbance rejection of multi-agent systems: A reinforcement learning differential game approach.
Proceedings of the American Control Conference, 2015

2014
Detection in Adversarial Environments.
IEEE Trans. Automat. Contr., 2014

Multi-agent discrete-time graphical games and reinforcement learning solutions.
Autom., 2014

Online optimal switching of single phase DC/AC inverters using partial information.
Proceedings of the American Control Conference, 2014

An online actor/critic algorithm for event-triggered optimal control of continuous-time nonlinear systems.
Proceedings of the American Control Conference, 2014

2013
A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems.
Autom., 2013

Formulating Cyber-Security as Convex Optimization Problems.
Proceedings of the Control of Cyber-Physical Systems, 2013

Multi-agent discrete-time graphical games: interactive Nash equilibrium and value iteration solution.
Proceedings of the American Control Conference, 2013

2012
Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality.
Autom., 2012

Online learning algorithm for Stackelberg games in problems with hierarchy.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Adversarial detection as a zero-sum game.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

An online integral reinforcement learning algorithm to solve N-player Nash games.
Proceedings of the 2012 IEEE International Symposium on Intelligent Control, 2012

2011
Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Multi-player non-zero-sum games: Online adaptive learning solution of coupled Hamilton-Jacobi equations.
Autom., 2011

Policy iteration algorithm for distributed networks and graphical games.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Online adaptive learning of optimal control solutions using integral reinforcement learning.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Non-zero sum games: Online learning solution of coupled Hamilton-Jacobi and coupled Riccati equations.
Proceedings of the 2011 IEEE International Symposium on Intelligent Control, 2011

2010
Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem.
Autom., 2010

Optimal adaptive control for unknown systems using output feedback by reinforcement learning methods.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

Online solution of nonlinear two-player zero-sum games using synchronous policy iteration.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009


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