Thommen George Karimpanal

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Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Roland BouffanaisAssociate Professor, University of OttawaVerified email at uottawa.ca
Santu RanaAssociate Professor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
John-John CabibihanAssociate Professor, Mechanical & Industrial Engineering Dept, Qatar UniversityVerified email at qu.edu.qa
Majid AbdolshahResearch fellow @ Applied Artificial Intelligence Institute (A²I²), Deakin UniversityVerified email at deakin.edu.au
Erik WilhelmKyburz SwitzerlandVerified email at kyburz-switzerland.ch
Hung LeDeakin UniversityVerified email at deakin.edu.au
Truyen TranAssociate Professor, Applied AI Institute, 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
Sunil GuptaAssociate Professor, Deakin UniversityVerified email at deakin.edu.au
Buddhika Laknath SemageDeakin UniversityVerified email at buffalo.edu
Patrick MannionLecturer Above the Bar / Assistant Professor in Computer Science, National University of IrelandVerified email at nuigalway.ie
Fredrik HeintzProfessor of Computer Science, Linköping UniversityVerified email at liu.se
Peter VamplewAssociate Professor, Information Technology, Federation University AustraliaVerified email at federation.edu.au
Kien DoApplied Artificial Intelligence Institute (A2I2), Deakin UniversityVerified email at deakin.edu.au
Vuong LeDeakin UniversityVerified email at deakin.edu.au

Thommen George Karimpanal

Applied Artificial Intelligence Institute

Verified email at deakin.edu.au - Homepage

Reinforcement Learning Continual Learning Artificial Life


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Self-organizing maps for storage and transfer of knowledge in reinforcement learning TG Karimpanal, R Bouffanais Adaptive Behavior, 1059712318818568, 2019	30*	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	20*	2013
Identification and off-policy learning of multiple objectives using adaptive clustering TG Karimpanal, E Wilhelm Neurocomputing 263, 39-47, 2017	15	2017
Experience Replay Using Transition Sequences TG Karimpanal, R Bouffanais Frontiers in Neurorobotics 12, 32, 2018	7	2018
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	5	2018
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	5	2015
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	3	2020
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	2	2021
A Self-Replication Basis for Designing Complex Agents TG Karimpanal Genetic and Evolutionary Computation Conference (GECCO), 2018, In …, 2018	2	2018
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	2*	2010
Model-Based Episodic Memory Induces Dynamic Hybrid Controls H Le, TG Karimpanal, M Abdolshah, T Tran, S Venkatesh NeurIPS 2021, 2021	1	2021
Neuro-evolutionary Frameworks for Generalized Learning Agents TG Karimpanal arXiv preprint arXiv:2002.01088, 2020	1	2020
Episodic Policy Gradient Training H Le, M Abdolshah, TG Karimpanal, K Do, D Nguyen, S Venkatesh AAAI 2022, 2021		2021
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets TG Karimpanal, H Le, M Abdolshah, S Rana, S Gupta, T Tran, ... arXiv preprint arXiv:2111.02787, 2021		2021
Neural Latent Traversal with Semantic Constraints M Abdolshah, H Le, TG Karimpanal, V Le, S Gupta, S Rana, S Venkatesh		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		2021
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer BL Semage, TG Karimpanal, S Rana, S Venkatesh arXiv preprint arXiv:2104.08795, 2021		2021
Intentionality in Reinforcement Learning TG Karimpanal		2021
Multi-Objective Decision Making for Trustworthy AI P Mannion, F Heintz, TG Karimpanal, P Vamplew MODeM workshop, 2021		2021
Towards Experience-Efficient Reinforcement Learning TG Karimpanal Singapore University of Technology and Design, 2019		2019

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