Thommen George Karimpanal

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Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Santu RanaAssociate Professor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Sunil GuptaProfessor, Head of AI Optimization and Materials Discovery, Deakin UniversityVerified email at deakin.edu.au
Majid AbdolshahMachine Learning Scientist @ AmazonVerified email at amazon.com
Roland BouffanaisAssociate Professor, University of GenevaVerified email at unige.ch
Hung LeDeakin UniversityVerified email at deakin.edu.au
Truyen TranProfessor | Head of AI, Health and Science @ Deakin UniversityVerified email at deakin.edu.au
John-John CabibihanProfessor, Mechanical & Industrial Engineering Dept, Qatar UniversityVerified email at qu.edu.qa
Erik WilhelmKyburz SwitzerlandVerified email at kyburz-switzerland.ch
Manisha SenadeeraDeakin UniversityVerified email at deakin.edu.au
Buddhika Laknath SemageDeakin UniversityVerified email at deakin.edu.au
Kien DoApplied Artificial Intelligence Institute (A2I2), Deakin UniversityVerified email at deakin.edu.au
mohammadreza chamanbazResearch Fellow, Rio Tinto Centre for Mine Automation, Australian Centre for Field RoboticsVerified email at sydney.edu.au
Patrick MannionLecturer Above the Bar / Assistant Professor in Computer Science, University of GalwayVerified email at universityofgalway.ie
Fredrik HeintzProfessor of Computer Science, Linköping UniversityVerified email at liu.se
Peter VamplewProfessor, Information Technology, Federation University AustraliaVerified email at federation.edu.au
Joseph Anand VazProfessor of Mechanical Engineering, Dr B R Ambedkar National Institute of Technology, JalandharVerified email at nitj.ac.in
Maxence HussonnoisPh.D student, Applied Artificial Intelligence Institute, Deakin UniversityVerified email at deakin.edu.au
Vuong LeDeakin UniversityVerified email at deakin.edu.au
Francisco CruzUNSW SydneyVerified email at unsw.edu.au

Thommen George Karimpanal

Research Lecturer, Applied Artificial Intelligence Institute

Verified email at deakin.edu.au - Homepage

Reinforcement Learning Artificial Intelligence Artificial Life


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Self-organizing maps for storage and transfer of knowledge in reinforcement learning TG Karimpanal, R Bouffanais Adaptive Behavior, 1059712318818568, 2019	72*	2019
Sensing discomfort of standing passengers in public rail transportation systems using a smart phone TG Karimpanal, HM Gadhia, R Sukumar, JJ Cabibihan IEEE International Conference on Control and Automation (ICCA) 2013 …, 2013	26*	2013
Identification and off-policy learning of multiple objectives using adaptive clustering TG Karimpanal, E Wilhelm Neurocomputing 263, 39-47, 2017	19	2017
Experience Replay Using Transition Sequences TG Karimpanal, R Bouffanais Frontiers in Neurorobotics 12, 32, 2018	18	2018
A New Representation of Successor Features for Transfer across Dissimilar Environments M Abdolshah, H Le, TG Karimpanal, S Gupta, S Rana, S Venkatesh International Conference on Machine Learning, 1-9, 2021	17*	2021
Self-Organizing Maps as a Storage and Transfer Mechanism in Reinforcement Learning TG Karimpanal, R Bouffanais Autonomous Agents and Multiagent Systems (AAMAS), 2018, Stockholm, Adaptive …, 2018	13	2018
Model-Based Episodic Memory Induces Dynamic Hybrid Controls H Le, TG Karimpanal, M Abdolshah, T Tran, S Venkatesh NeurIPS 2021, 2021	8	2021
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning TG Karimpanal, S Rana, S Gupta, T Tran, S Venkatesh International Joint Conference on Neural Networks (IJCNN), 2020, Glasgow …, 2020	8	2020
Adapting Low-Cost Platforms for Robotics Research TG Karimpanal, M Chamanbaz, W Li, T Jeruzalski, A Gupta, E Wilhelm International Conference on Intelligent Robots and Systems (IROS), 2015 …, 2015	7*	2015
Sympathy-based reinforcement learning agents M Senadeera, TG Karimpanal, S Gupta, S Rana AAMAS, 2022 Proceedings of the 21st International conference on autonomous …, 2022	6	2022
Multi-Objective Decision Making for Trustworthy AI P Mannion, F Heintz, TG Karimpanal, P Vamplew MODeM workshop, 2021	4	2021
Modeling and Simulation of the Dynamics of the Quick Return Mechanism: A Bond Graph Approach TG Karimpanal, A Vaz Industrial Problems on Machines and Mechanisms (IPRoMM), 2010, Jaipur, India …, 2010	3*	2010
Balanced Q-learning: Combining the influence of optimistic and pessimistic targets TG Karimpanal, H Le, M Abdolshah, S Rana, S Gupta, T Tran, ... Artificial Intelligence, 2023	2	2023
Controlled Diversity with Preference: Towards Learning a Diverse Set of Desired Skills M Hussonnois, TG Karimpanal, S Rana AAMAS, 2023, 2023	2	2023
Episodic Policy Gradient Training H Le, M Abdolshah, TG Karimpanal, K Do, D Nguyen, S Venkatesh AAAI 2022, 2021	2	2021
Neuro-evolutionary Frameworks for Generalized Learning Agents TG Karimpanal arXiv preprint arXiv:2002.01088, 2020	2	2020
A Self-Replication Basis for Designing Complex Agents TG Karimpanal Genetic and Evolutionary Computation Conference (GECCO), 2018, In …, 2018	2	2018
Neural Latent Traversal with Semantic Constraints M Abdolshah, H Le, TG Karimpanal, V Le, S Gupta, S Rana, S Venkatesh	1	2021
Plug and Play, Model-Based Reinforcement Learning M Abdolshah, H Le, TG Karimpanal, S Gupta, S Rana, S Venkatesh arXiv preprint arXiv:2108.08960, 2021	1	2021
Towards Experience-Efficient Reinforcement Learning TG Karimpanal Singapore University of Technology and Design, 2019	1	2019

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