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Thommen George Karimpanal
Thommen George Karimpanal
Applied Artificial Intelligence Institute
Verified email at deakin.edu.au - Homepage
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
61*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
24*2013
Identification and off-policy learning of multiple objectives using adaptive clustering
TG Karimpanal, E Wilhelm
Neurocomputing 263, 39-47, 2017
182017
Experience Replay Using Transition Sequences
TG Karimpanal, R Bouffanais
Frontiers in Neurorobotics 12, 32, 2018
152018
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
132018
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
102021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
H Le, TG Karimpanal, M Abdolshah, T Tran, S Venkatesh
NeurIPS 2021, 2021
82021
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
82020
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
52015
Sympathy-based reinforcement learning agents
M Senadeera, TG Karimpanal, S Gupta, S Rana
Proceedings of the 21st international conference on autonomous agents and …, 2022
42022
Episodic Policy Gradient Training
H Le, M Abdolshah, TG Karimpanal, K Do, D Nguyen, S Venkatesh
AAAI 2022, 2021
32021
Multi-Objective Decision Making for Trustworthy AI
P Mannion, F Heintz, TG Karimpanal, P Vamplew
MODeM workshop, 2021
32021
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
Neuro-evolutionary Frameworks for Generalized Learning Agents
TG Karimpanal
arXiv preprint arXiv:2002.01088, 2020
22020
A Self-Replication Basis for Designing Complex Agents
TG Karimpanal
Genetic and Evolutionary Computation Conference (GECCO), 2018, In …, 2018
22018
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
12021
Neural Latent Traversal with Semantic Constraints
M Abdolshah, H Le, TG Karimpanal, V Le, S Gupta, S Rana, S Venkatesh
12021
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
12021
Controlled Diversity with Preference: Towards Learning a Diverse Set of Desired Skills
M Hussonnois, TG Karimpanal, S Rana
arXiv preprint arXiv:2303.04592, 2023
2023
Zero-shot Sim2Real Adaptation Across Environments
BL Semage, TG Karimpanal, S Rana, S Venkatesh
arXiv preprint arXiv:2302.04013, 2023
2023
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Articles 1–20