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Howard M. Schwartz
Howard Schwartz 0001
Person information
- affiliation: Carleton University, Department of Systems and Computer Engineering, Ottawa, Canada
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2020 – today
- 2024
- [j31]Dawei Ni
, Howard M. Schwartz:
Enhancing Learning Efficiency in FACL: A Novel Fuzzy Rule Transfer Method for Transfer Learning. Int. J. Fuzzy Syst. 26(4): 1215-1232 (2024) - [j30]Rachel Haighton, Amirhossein Asgharnia
An adaptable fuzzy reinforcement learning method for non-stationary environments. Neurocomputing 604: 128309 (2024) - 2023
- [j29]Amirhossein Asgharnia, Howard Schwartz, Mohamed Maher Atia:
Multi-objective fuzzy Q-learning to solve continuous state-action problems. Neurocomputing 516: 115-132 (2023) - [c58]Mohammad Tayefe Ramezanlou, Howard Schwartz, Ioannis Lambadaris, Michel Barbeau, Syed Hassan Raza Naqvi:
Learning a Policy for Pursuit-Evasion Games Using Spiking Neural Networks and the STDP Algorithm. SMC 2023: 1918-1925 - [c57]Rachel Haighton, Amirhossein Asgharnia, Howard Schwartz, Sidney Givigi:
Hierarchical Reinforcement Learning for Non-Stationary Environments. SSCI 2023: 1421-1428 - 2022
- [j28]Amirhossein Asgharnia
Learning Deception Using Fuzzy Multi-Level Reinforcement Learning in a Multi-Defender One-Invader Differential Game. Int. J. Fuzzy Syst. 24(7): 3015-3038 (2022) - [c56]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Multi-Invader Multi-Defender Differential Game Using Reinforcement Learning. FUZZ-IEEE 2022: 1-8 - [c55]Mohammad Tayefe Ramezanlou, Howard Schwartz, Ioannis Lambadaris, Michel Barbeau:
Comparison of Cellular Network Controllers for Quadrotors Experiencing Time Delay. MED 2022: 500-507 - [c54]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Hierarchical Reinforcement Learning With Multi Discount Factors In A Differential Game. SSCI 2022: 686-693 - 2021
- [j27]Ian Showalter, Howard Schwartz:
Neuromodulated multiobjective evolutionary neurocontrollers without speciation. Evol. Intell. 14(4): 1415-1430 (2021) - [c53]Ian Showalter, Howard Schwartz, Sidney N. Givigi:
Evolutionary Inherited Neuromodulated Neurocontrollers with Objective Weighted Ranking. CEC 2021: 2443-2450 - [c52]Ian Showalter, Howard Schwartz, Sidney N. Givigi:
The Behavioural and Topological Effects of Measurement Noise on Evolutionary Neurocontrollers. SMC 2021: 2296-2303 - 2020
- [c51]Ian Showalter, Howard Schwartz:
Multiobjective Neuromodulated Controllers for Efficient Autonomous Vehicles with Mass and Drag in the Pursuit-Evasion Game. CEC 2020: 1-8 - [c50]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Deception In The Game of Guarding Multiple Territories: A Machine Learning Approach. SMC 2020: 381-388 - [c49]Ammar Al-Mahbashi, Howard Schwartz, Ioannis Lambadaris:
Machine Learning Approach for Multiple Coordinated Aerial Drones Pursuit-Evasion Games. SMC 2020: 642-647 - [c48]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Deception in A Multi-agent Adversarial Game: The Game of Guarding Several Territories. SSCI 2020: 1321-1327 - [c47]Ian Showalter, Howard Schwartz:
Objective Comparison and Selection in Mono- and Multi-Objective Evolutionary Neurocontrollers. SSCI 2020: 2280-2287 - [c46]Ian Showalter, Howard Schwartz:
Exploring the Relationship Between Topology and Function in Evolved Neural Networks. SSCI 2020: 2304-2311 - [c45]Ian Showalter, Howard Schwartz:
Self-Adaptation of Meta-Parameters for Lamarckian-Inherited Neuromodulated Neurocontrollers in the Pursuit-Evasion Game. SSCI 2020: 2592-2599
2010 – 2019
- 2019
- [c44]Ian Showalter, Howard Schwartz:
Lamarckian Inheritance in Neuromodulated Multiobjective Evolutionary Neurocontrollers. MED 2019: 63-68 - [c43]Howard Schwartz:
An Object Oriented Approach to Fuzzy Actor-Critic Learning for Multi-Agent Differential Games. SSCI 2019: 183-190 - [c42]Walter Aburime, Howard M. Schwartz, Sidney Givigi
Compensation for Time Delays in the Navigation of Unmanned Aerial Vehicles. SysCon 2019: 1-8 - 2018
- [c41]Tolulope Akinbulire, Rafael Falcon, Rami S. Abielmona, Howard Schwartz:
Responding to Illegal, Unreported and Unregulated Fishing with Evolutionary Multi-Objective Optimization. CIVEMSA 2018: 1-6 - 2017
- [j26]Mostafa D. Awheda, Howard M. Schwartz:
A Residual Gradient Fuzzy Reinforcement Learning Algorithm for Differential Games. Int. J. Fuzzy Syst. 19(4): 1058-1076 (2017) - [c40]Tolulope Akinbulire, Howard Schwartz, Rafael Falcon, Rami S. Abielmona:
A reinforcement learning approach to tackle illegal, unreported and unregulated fishing. SSCI 2017: 1-8 - 2016
- [j25]Mostafa D. Awheda, Howard M. Schwartz:
Exponential moving average based multiagent reinforcement learning algorithms. Artif. Intell. Rev. 45(3): 299-332 (2016) - [j24]Jeffrey S. Campbell, Sidney Nascimento Givigi
Multiple Model Q-Learning for Stochastic Asynchronous Rewards. J. Intell. Robotic Syst. 81(3-4): 407-422 (2016) - [j23]Mostafa D. Awheda
A Decentralized Fuzzy Learning Algorithm for Pursuit-Evasion Differential Games with Superior Evaders. J. Intell. Robotic Syst. 83(1): 35-53 (2016) - [j22]Hashem Raslan, Howard M. Schwartz, Sidney Nascimento Givigi
A Learning Invader for the "Guarding a Territory" Game - A Reinforcement Learning Problem. J. Intell. Robotic Syst. 83(1): 55-70 (2016) - [j21]MohammadJavad Hajikhani, Thomas Kunz
A Recursive Method for Clock Synchronization in Asymmetric Packet-Based Networks. IEEE/ACM Trans. Netw. 24(4): 2332-2342 (2016) - [c39]Chidozie V. Analikwu, Howard M. Schwartz:
Reinforcement learning in the guarding a territory game. FUZZ-IEEE 2016: 1007-1014 - [c38]Ahmad A. Al-Talabi
Kalman fuzzy actor-critic learning automaton algorithm for the pursuit-evasion differential game. FUZZ-IEEE 2016: 1015-1022 - [c37]Mostafa D. Awheda, Howard M. Schwartz:
Decentralized learning in pursuit-evasion differential games with multi-pursuer and single-superior evader. SysCon 2016: 1-8 - [c36]Mostafa D. Awheda, Howard M. Schwartz:
A fuzzy reinforcement learning algorithm using a predictor for pursuit-evasion games. SysCon 2016: 1-8 - [c35]Hashem Raslan, Howard M. Schwartz, Sidney N. Givigi
A learning invader for the guarding a territory game. SysCon 2016: 1-8 - 2015
- [j20]Zongwen Xue, Howard M. Schwartz:
A comparison of mobile robot pose estimation using nonlinear filters: simulation and experimental results. Int. J. Mechatronics Autom. 5(2/3): 92-106 (2015) - [c34]Jeffrey S. Campbell, Sidney Nascimento Givigi
Handling stochastic reward delays in machine reinforcement learning. CCECE 2015: 314-319 - [c33]Mostafa D. Awheda, Howard M. Schwartz:
The residual gradient FACL algorithm for differential games. CCECE 2015: 1006-1011 - [c32]Francisca Adaramola, Thomas Kunz, Howard Schwartz:
Multiple Model Linearization Solution for Cellular Base Station Power Amplifiers. ICUWB 2015: 1-6 - [c31]Ahmed T. Hafez
Real time tactic switching for multiple cooperative UAVs via Model Predictive Control. SysCon 2015: 432-438 - 2014
- [j19]Sidney Nascimento Givigi
Decentralized strategy selection with learning automata for multiple pursuer-evader games. Adapt. Behav. 22(4): 221-234 (2014) - [j18]George Philip, Sidney Nascimento Givigi
Cooperative navigation of unknown environments using potential games. Int. J. Mechatronics Autom. 4(3): 173-187 (2014) - [c30]Ahmad A. Al-Talabi
A two stage learning technique for dual learning in the pursuit-evasion differential game. ADPRL 2014: 1-8 - [c29]Md. Arifur Rahman, Thomas Kunz, Howard Schwartz:
Delay Asymmetry Correction Model for Master-Slave Synchronization Protocols. AINA 2014: 1-8 - [c28]Ahmad A. Al-Talabi
An investigation of methods of parameter tuning for Q-Learning Fuzzy Inference System. FUZZ-IEEE 2014: 2594-2601 - [c27]Mostafa D. Awheda, Howard M. Schwartz:
A fuzzy reinforcement learning algorithm with a prediction mechanism. MED 2014: 593-598 - [c26]Jeffrey S. Campbell, Sidney Nascimento Givigi
Multiple-model Q-learning for stochastic reinforcement delays. SMC 2014: 1611-1617 - [i1]Xiaosong Lu, Howard M. Schwartz, Sidney Nascimento Givigi:
Policy Invariance under Reward Transformations for General-Sum Stochastic Games. CoRR abs/1401.3907 (2014) - 2013
- [c25]Mostafa D. Awheda, Howard M. Schwartz:
Exponential moving average Q-learning algorithm. ADPRL 2013: 31-38 - [c24]MohammadJavad Hajikhani, Thomas Kunz, Howard Schwartz:
A recursive solution for improving the synchronization accuracy in wireless sensor networks. IWCMC 2013: 1325-1330 - [c23]George Philip, Howard M. Schwartz, Sidney Nascimento Givigi
Cooperative Exploration Using Potential Games. SMC 2013: 2384-2389 - 2012
- [c22]Pierre Dinnissen, Sidney Nascimento Givigi
Map merging of Multi-Robot SLAM using Reinforcement Learning. SMC 2012: 53-60 - [c21]Luis Mendez, Sidney Nascimento Givigi
Validation of swarms of robots: theory and experimental results. SoSE 2012: 332-337 - 2011
- [j17]Xiaosong Lu, Howard M. Schwartz, Sidney Nascimento Givigi
Policy Invariance under Reward Transformations for General-Sum Stochastic Games. J. Artif. Intell. Res. 41: 397-406 (2011) - [j16]Sameh F. Desouky, Howard M. Schwartz:
Self-learning fuzzy logic controllers for pursuit-evasion differential games. Robotics Auton. Syst. 59(1): 22-33 (2011) - [c20]Xiaosong Lu, Howard M. Schwartz:
Decentralized learning in two-player zero-sum games: A LR-I lagging anchor algorithm. ACC 2011: 107-112 - 2010
- [j15]Sidney Nascimento Givigi
A Reinforcement Learning Adaptive Fuzzy Controller for Differential Games. J. Intell. Robotic Syst. 59(1): 3-30 (2010) - [c19]Xiaosong Lu, Howard M. Schwartz:
An investigation of guarding a territory problem in a grid world. ACC 2010: 3204-3210 - [c18]Sameh F. Desouky, Howard M. Schwartz:
Q(lambda)-learning fuzzy logic controller for differential games. ISDA 2010: 109-114 - [c17]Sameh F. Desouky, Howard M. Schwartz:
Learning in n-pursuer n-evader differential games. SMC 2010: 4069-4074 - [c16]Sameh F. Desouky, Howard M. Schwartz:
Q(lambda)-learning fuzzy logic controller for a multi-robot system. SMC 2010: 4075-4080
2000 – 2009
- 2009
- [c15]Sameh F. Desouky, Howard M. Schwartz:
Genetic based fuzzy logic controller for a wall-following mobile robot. ACC 2009: 3555-3560 - [c14]Sameh F. Desouky, Howard M. Schwartz:
Hybrid Intelligent Systems Applied to The Pursuit-Evasion Game. SMC 2009: 2603-2608 - [c13]Sameh F. Desouky, Howard M. Schwartz:
A Novel Technique to Design a Fuzzy Logic Controller Using Q(lambda)-Learning and Genetic Algorithms in The Pursuit-Evasion Game. SMC 2009: 2609-2615 - [c12]Sameh F. Desouky, Howard M. Schwartz:
A Novel Hybrid Learning Technique Applied to a Self-Learning Multi-Robot System. SMC 2009: 2616-2623 - [c11]Sidney Nascimento Givigi
An Experimental Adaptive Fuzzy Controller for Differential Games. SMC 2009: 3017-3023 - 2008
- [j14]Xiaosong Lu, Howard M. Schwartz:
A revised adaptive fuzzy sliding mode controller for robotic manipulators. Int. J. Model. Identif. Control. 4(2): 127-133 (2008) - [j13]Howard M. Schwartz, John Michael Daly:
An Approach to output Feedback Adaptive Control for robot manipulators. Int. J. Robotics Autom. 23(3) (2008) - 2007
- [j12]Alexander Scott Campbell, Howard M. Schwartz:
Multiple Model Control Improvements: Hypothesis Testing and modified Model Arrangement. Control. Intell. Syst. 35(3) (2007) - 2006
- [j11]John Michael Daly, Howard M. Schwartz:
Experimental results for output feedback adaptive robot control. Robotica 24(6): 727-738 (2006) - 2005
- [c10]Alexander Scott Campbell, Howard M. Schwartz:
Stochastic multiple model adaptive control with hypothesis testing. ACC 2005: 366-367vol.1 - [c9]John Michael Daly, Howard M. Schwartz:
Non-Linear Adaptive Output Feedback Control of Robot Manipulators. ICRA 2005: 1687-1693 - 2004
- [j10]Liyu Cao, Howard M. Schwartz:
Analysis of the Kalman filter based estimation algorithm: an orthogonal decomposition approach. Autom. 40(1): 5-19 (2004) - [j9]Liyu Cao, Howard M. Schwartz:
Complementary results on the stability bounds of singularly perturbed systems. IEEE Trans. Autom. Control. 49(11): 2017-2021 (2004) - [c8]Ian Showalter, Howard M. Schwartz:
A growing and pruning method for a history stack neural network based adaptive controller. CDC 2004: 4946-4951 - 2002
- [c7]Liyu Cao, Howard M. Schwartz:
Output feedback stabilization of linear systems with a singular perturbation model. ACC 2002: 1627-1632 - [c6]Shixin Wei, Howard Schwartz:
Performance evaluation of filter bank and wavelet system in image coding. ICASSP 2002: 4190 - 2001
- [j8]Liyu Cao, Howard M. Schwartz:
A Decomposition Method for Positive Semidefinite Matrices and Its Application to Recursive Parameter Estimation. SIAM J. Matrix Anal. Appl. 22(4): 1095-1111 (2001) - [c5]Liyu Cao, Howard M. Schwartz:
The Kalman filter based recursive algorithm: windup and its avoidance. ACC 2001: 3606-3611 - 2000
- [j7]Liyu Cao, Howard M. Schwartz:
A directional forgetting algorithm based on the decomposition of the information matrix. Autom. 36(11): 1725-1731 (2000) - [c4]Liyu Cao, Howard M. Schwartz:
Stick-slip friction compensation for PID position control. ACC 2000: 1078-1082
1990 – 1999
- 1996
- [j6]Gabriel D. Warshaw, Howard M. Schwartz:
Sampled-Data Robot Adaptive Control With Stabilizing Compensation. Int. J. Robotics Res. 15(1): 78-90 (1996) - 1995
- [j5]Zaryab Hamavand, Howard M. Schwartz:
Trajectory control of robotic manipulators by using a feedback-error-learning neural network. Robotica 13(5): 449-459 (1995) - [j4]Victor C. Aitken, Howard M. Schwartz:
A comparison of rotational representations in structure and motion estimation for manoeuvring objects. IEEE Trans. Image Process. 4(4): 516-520 (1995) - 1994
- [j3]Victor C. Aitken, Howard M. Schwartz:
On the exponential stability of discrete-time systems with applications in observer design. IEEE Trans. Autom. Control. 39(9): 1959-1962 (1994) - 1993
- [j2]W. McCormick, Howard M. Schwartz:
An Investigation of Impedance Control for Robot Manipulators. Int. J. Robotics Res. 12(5): 473-489 (1993) - 1992
- [j1]Hosni B. Belaifa, Howard M. Schwartz:
Robust modeling for image restoration using a modified reduced update Kalman filter. IEEE Trans. Signal Process. 40(10): 2584-2588 (1992) - [c3]Gabriel D. Warshaw, Howard M. Schwartz, Hikmet Asmer:
Stability And Performance of Sampled-data Robot Adaptive Controllers. IROS 1992: 95-104 - [c2]Hikmet Asmer, Howard M. Schwartz, Gabriel D. Warshaw:
A Direct Adaptive Control Method With Desired Compensation For Robotic Manipulators. IROS 1992: 105-113 - 1991
- [c1]Richard Gourdeau, Howard M. Schwartz:
Adaptive control of robotic manipulators: experimental results. ICRA 1991: 8-15
Coauthor Index
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