Howard M. Schwartz

According to our database, Howard M. Schwartz authored at least 87 papers between 1991 and 2023.

Collaborative distances:

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

2023

Multi-objective fuzzy Q-learning to solve continuous state-action problems.

Amirhossein Asgharnia, Howard Schwartz, Mohamed Maher Atia

Neurocomputing, 2023

Hierarchical Reinforcement Learning for Non-Stationary Environments.

Rachel Haighton, Amirhossein Asgharnia, Howard Schwartz, Sidney Givigi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Learning a Policy for Pursuit-Evasion Games Using Spiking Neural Networks and the STDP Algorithm.

Mohammad Tayefe Ramezanlou, Howard Schwartz, Ioannis Lambadaris, Michel Barbeau, Syed Hassan Raza Naqvi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Learning Deception Using Fuzzy Multi-Level Reinforcement Learning in a Multi-Defender One-Invader Differential Game.

Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia

Int. J. Fuzzy Syst., 2022

Hierarchical Reinforcement Learning With Multi Discount Factors In A Differential Game.

Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Comparison of Cellular Network Controllers for Quadrotors Experiencing Time Delay.

Mohammad Tayefe Ramezanlou, Howard Schwartz, Ioannis Lambadaris, Michel Barbeau

Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

Multi-Invader Multi-Defender Differential Game Using Reinforcement Learning.

Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Neuromodulated multiobjective evolutionary neurocontrollers without speciation.

Ian Showalter, Howard Schwartz

Evol. Intell., 2021

The Behavioural and Topological Effects of Measurement Noise on Evolutionary Neurocontrollers.

Ian Showalter, Howard Schwartz, Sidney N. Givigi

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Evolutionary Inherited Neuromodulated Neurocontrollers with Objective Weighted Ranking.

Ian Showalter, Howard Schwartz, Sidney N. Givigi

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Self-Adaptation of Meta-Parameters for Lamarckian-Inherited Neuromodulated Neurocontrollers in the Pursuit-Evasion Game.

Ian Showalter, Howard Schwartz

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Exploring the Relationship Between Topology and Function in Evolved Neural Networks.

Ian Showalter, Howard Schwartz

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Objective Comparison and Selection in Mono- and Multi-Objective Evolutionary Neurocontrollers.

Ian Showalter, Howard Schwartz

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Deception in A Multi-agent Adversarial Game: The Game of Guarding Several Territories.

Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Deception In The Game of Guarding Multiple Territories: A Machine Learning Approach.

Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Machine Learning Approach for Multiple Coordinated Aerial Drones Pursuit-Evasion Games.

Ammar Al-Mahbashi, Howard Schwartz, Ioannis Lambadaris

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Multiobjective Neuromodulated Controllers for Efficient Autonomous Vehicles with Mass and Drag in the Pursuit-Evasion Game.

Ian Showalter, Howard Schwartz

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Compensation for Time Delays in the Navigation of Unmanned Aerial Vehicles.

Walter Aburime, Howard M. Schwartz, Sidney Givigi

Proceedings of the 2019 IEEE International Systems Conference, 2019

An Object Oriented Approach to Fuzzy Actor-Critic Learning for Multi-Agent Differential Games.

Howard Schwartz

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Lamarckian Inheritance in Neuromodulated Multiobjective Evolutionary Neurocontrollers.

Ian Showalter, Howard Schwartz

Proceedings of the 27th Mediterranean Conference on Control and Automation, 2019

2018

Responding to Illegal, Unreported and Unregulated Fishing with Evolutionary Multi-Objective Optimization.

Tolulope Akinbulire, Rafael Falcon, Rami S. Abielmona, Howard Schwartz

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2018

2017

A Residual Gradient Fuzzy Reinforcement Learning Algorithm for Differential Games.

Mostafa D. Awheda, Howard M. Schwartz

Int. J. Fuzzy Syst., 2017

A reinforcement learning approach to tackle illegal, unreported and unregulated fishing.

Tolulope Akinbulire, Howard Schwartz, Rafael Falcon, Rami S. Abielmona

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

A Recursive Method for Clock Synchronization in Asymmetric Packet-Based Networks.

MohammadJavad Hajikhani, Thomas Kunz, Howard Schwartz

IEEE/ACM Trans. Netw., 2016

A Learning Invader for the "Guarding a Territory" Game - A Reinforcement Learning Problem.

Hashem Raslan, Howard M. Schwartz, Sidney Nascimento Givigi

J. Intell. Robotic Syst., 2016

Multiple Model Q-Learning for Stochastic Asynchronous Rewards.

Jeffrey S. Campbell, Sidney Nascimento Givigi, Howard M. Schwartz

J. Intell. Robotic Syst., 2016

A Decentralized Fuzzy Learning Algorithm for Pursuit-Evasion Differential Games with Superior Evaders.

Mostafa D. Awheda, Howard M. Schwartz

J. Intell. Robotic Syst., 2016

Exponential moving average based multiagent reinforcement learning algorithms.

Mostafa D. Awheda, Howard M. Schwartz

Artif. Intell. Rev., 2016

A learning invader for the guarding a territory game.

Hashem Raslan, Howard M. Schwartz, Sidney N. Givigi

Proceedings of the Annual IEEE Systems Conference, 2016

A fuzzy reinforcement learning algorithm using a predictor for pursuit-evasion games.

Mostafa D. Awheda, Howard M. Schwartz

Proceedings of the Annual IEEE Systems Conference, 2016

Decentralized learning in pursuit-evasion differential games with multi-pursuer and single-superior evader.

Mostafa D. Awheda, Howard M. Schwartz

Proceedings of the Annual IEEE Systems Conference, 2016

Reinforcement learning in the guarding a territory game.

Chidozie V. Analikwu, Howard M. Schwartz

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Kalman fuzzy actor-critic learning automaton algorithm for the pursuit-evasion differential game.

Ahmad A. Al-Talabi, Howard M. Schwartz

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

A comparison of mobile robot pose estimation using nonlinear filters: simulation and experimental results.

Zongwen Xue, Howard M. Schwartz

Int. J. Mechatronics Autom., 2015

Real time tactic switching for multiple cooperative UAVs via Model Predictive Control.

Ahmed T. Hafez, Sidney N. Givigi, Howard M. Schwartz, Shahram Yousefi, Mohamad Iskandarani

Proceedings of the Annual IEEE Systems Conference, 2015

Multiple Model Linearization Solution for Cellular Base Station Power Amplifiers.

Francisca Adaramola, Thomas Kunz, Howard Schwartz

Proceedings of the IEEE International Conference on Ubiquitous Wireless Broadband, 2015

Handling stochastic reward delays in machine reinforcement learning.

Jeffrey S. Campbell, Sidney Nascimento Givigi, Howard M. Schwartz

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

The residual gradient FACL algorithm for differential games.

Mostafa D. Awheda, Howard M. Schwartz

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014

Cooperative navigation of unknown environments using potential games.

George Philip, Sidney Nascimento Givigi, Howard M. Schwartz

Int. J. Mechatronics Autom., 2014

Decentralized strategy selection with learning automata for multiple pursuer-evader games.

Sidney Nascimento Givigi, Howard M. Schwartz

Adapt. Behav., 2014

Multiple-model Q-learning for stochastic reinforcement delays.

Jeffrey S. Campbell, Sidney Nascimento Givigi, Howard M. Schwartz

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

A fuzzy reinforcement learning algorithm with a prediction mechanism.

Mostafa D. Awheda, Howard M. Schwartz

Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

An investigation of methods of parameter tuning for Q-Learning Fuzzy Inference System.

Ahmad A. Al-Talabi, Howard M. Schwartz

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Delay Asymmetry Correction Model for Master-Slave Synchronization Protocols.

Md. Arifur Rahman, Thomas Kunz, Howard Schwartz

Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications, 2014

A two stage learning technique for dual learning in the pursuit-evasion differential game.

Ahmad A. Al-Talabi, Howard M. Schwartz

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013

Cooperative Exploration Using Potential Games.

George Philip, Howard M. Schwartz, Sidney Nascimento Givigi

Proceedings of the IEEE International Conference on Systems, 2013

A recursive solution for improving the synchronization accuracy in wireless sensor networks.

MohammadJavad Hajikhani, Thomas Kunz, Howard Schwartz

Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

Exponential moving average Q-learning algorithm.

Mostafa D. Awheda, Howard M. Schwartz

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012

Validation of swarms of robots: theory and experimental results.

Luis Mendez, Sidney Nascimento Givigi, Howard M. Schwartz, Alain Beaulieu, Gerard Pieris, Giovanni Fusina

Proceedings of the 7th International Conference on System of Systems Engineering, 2012

Map merging of Multi-Robot SLAM using Reinforcement Learning.

Pierre Dinnissen, Sidney Nascimento Givigi, Howard M. Schwartz

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011

Self-learning fuzzy logic controllers for pursuit-evasion differential games.

Sameh F. Desouky, Howard M. Schwartz

Robotics Auton. Syst., 2011

Policy Invariance under Reward Transformations for General-Sum Stochastic Games.

Xiaosong Lu, Howard M. Schwartz, Sidney Nascimento Givigi

J. Artif. Intell. Res., 2011

Decentralized learning in two-player zero-sum games: A LR-I lagging anchor algorithm.

Xiaosong Lu, Howard M. Schwartz

Proceedings of the American Control Conference, 2011

2010

A Reinforcement Learning Adaptive Fuzzy Controller for Differential Games.

Sidney Nascimento Givigi, Howard M. Schwartz, Xiaosong Lu

J. Intell. Robotic Syst., 2010

Q(lambda)-learning fuzzy logic controller for a multi-robot system.

Sameh F. Desouky, Howard M. Schwartz

Proceedings of the IEEE International Conference on Systems, 2010

Learning in n-pursuer n-evader differential games.

Sameh F. Desouky, Howard M. Schwartz

Proceedings of the IEEE International Conference on Systems, 2010

Q(lambda)-learning fuzzy logic controller for differential games.

Sameh F. Desouky, Howard M. Schwartz

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

An investigation of guarding a territory problem in a grid world.

Xiaosong Lu, Howard M. Schwartz

Proceedings of the American Control Conference, 2010

2009

An Experimental Adaptive Fuzzy Controller for Differential Games.

Sidney Nascimento Givigi, Howard M. Schwartz, Xiaosong Lu

Proceedings of the IEEE International Conference on Systems, 2009

A Novel Hybrid Learning Technique Applied to a Self-Learning Multi-Robot System.

Sameh F. Desouky, Howard M. Schwartz

Proceedings of the IEEE International Conference on Systems, 2009

A Novel Technique to Design a Fuzzy Logic Controller Using Q(lambda)-Learning and Genetic Algorithms in The Pursuit-Evasion Game.

Sameh F. Desouky, Howard M. Schwartz

Proceedings of the IEEE International Conference on Systems, 2009

Hybrid Intelligent Systems Applied to The Pursuit-Evasion Game.

Sameh F. Desouky, Howard M. Schwartz

Proceedings of the IEEE International Conference on Systems, 2009

Genetic based fuzzy logic controller for a wall-following mobile robot.

Sameh F. Desouky, Howard M. Schwartz

Proceedings of the American Control Conference, 2009

2008

An Approach to output Feedback Adaptive Control for robot manipulators.

Howard M. Schwartz, John Michael Daly

Int. J. Robotics Autom., 2008

A revised adaptive fuzzy sliding mode controller for robotic manipulators.

Xiaosong Lu, Howard M. Schwartz

Int. J. Model. Identif. Control., 2008

2007

Multiple Model Control Improvements: Hypothesis Testing and modified Model Arrangement.

Alexander Scott Campbell, Howard M. Schwartz

Control. Intell. Syst., 2007

2006

Experimental results for output feedback adaptive robot control.

John Michael Daly, Howard M. Schwartz

Robotica, 2006

2005

Non-Linear Adaptive Output Feedback Control of Robot Manipulators.

John Michael Daly, Howard M. Schwartz

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Stochastic multiple model adaptive control with hypothesis testing.

Alexander Scott Campbell, Howard M. Schwartz

Proceedings of the American Control Conference, 2005

2004

Complementary results on the stability bounds of singularly perturbed systems.

Liyu Cao, Howard M. Schwartz

IEEE Trans. Autom. Control., 2004

Analysis of the Kalman filter based estimation algorithm: an orthogonal decomposition approach.

Liyu Cao, Howard M. Schwartz

Autom., 2004

A growing and pruning method for a history stack neural network based adaptive controller.

Ian Showalter, Howard M. Schwartz

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2002

Performance evaluation of filter bank and wavelet system in image coding.

Shixin Wei, Howard Schwartz

Proceedings of the IEEE International Conference on Acoustics, 2002

Output feedback stabilization of linear systems with a singular perturbation model.

Liyu Cao, Howard M. Schwartz

Proceedings of the American Control Conference, 2002

2001

A Decomposition Method for Positive Semidefinite Matrices and Its Application to Recursive Parameter Estimation.

Liyu Cao, Howard M. Schwartz

SIAM J. Matrix Anal. Appl., 2001

The Kalman filter based recursive algorithm: windup and its avoidance.

Liyu Cao, Howard M. Schwartz

Proceedings of the American Control Conference, 2001

2000

A directional forgetting algorithm based on the decomposition of the information matrix.

Liyu Cao, Howard M. Schwartz

Autom., 2000

Stick-slip friction compensation for PID position control.

Liyu Cao, Howard M. Schwartz

Proceedings of the American Control Conference, 2000

1996

Sampled-Data Robot Adaptive Control With Stabilizing Compensation.

Gabriel D. Warshaw, Howard M. Schwartz

Int. J. Robotics Res., 1996

1995

A comparison of rotational representations in structure and motion estimation for manoeuvring objects.

Victor C. Aitken, Howard M. Schwartz

IEEE Trans. Image Process., 1995

Trajectory control of robotic manipulators by using a feedback-error-learning neural network.

Zaryab Hamavand, Howard M. Schwartz

Robotica, 1995

1994

On the exponential stability of discrete-time systems with applications in observer design.

Victor C. Aitken, Howard M. Schwartz

IEEE Trans. Autom. Control., 1994

1993

An Investigation of Impedance Control for Robot Manipulators.

W. McCormick, Howard M. Schwartz

Int. J. Robotics Res., 1993

1992

Robust modeling for image restoration using a modified reduced update Kalman filter.

Hosni B. Belaifa, Howard M. Schwartz

IEEE Trans. Signal Process., 1992

Stability And Performance of Sampled-data Robot Adaptive Controllers.

Gabriel D. Warshaw, Howard M. Schwartz, Hikmet Asmer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1992

A Direct Adaptive Control Method With Desired Compensation For Robotic Manipulators.

Hikmet Asmer, Howard M. Schwartz, Gabriel D. Warshaw

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1992

1991

Adaptive control of robotic manipulators: experimental results.

Richard Gourdeau, Howard M. Schwartz

Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991