Thommen George Karimpanal

According to our database, Thommen George Karimpanal authored at least 24 papers between 2013 and 2023.

Collaborative distances:

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

2023

Balanced Q-learning: Combining the influence of optimistic and pessimistic targets.

Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh

Artif. Intell., December, 2023

Human-aligned reinforcement learning for autonomous agents and robots.

Francisco Cruz, Thommen George Karimpanal, Miguel A. Solis, Pablo Barros, Richard Dazeley

Neural Comput. Appl., August, 2023

Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network.

Kishan R. Nagiredla, Buddhika Laknath Semage, Thommen George Karimpanal, Arun Kumar A. V., Santu Rana

CoRR, 2023

LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying.

Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh

CoRR, 2023

Zero-shot Sim2Real Adaptation Across Environments.

Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh

CoRR, 2023

Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills.

Maxence Hussonnois, Thommen George Karimpanal, Santu Rana

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Memory-Constrained Policy Optimization.

Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

CoRR, 2022

Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer.

Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Uncertainty Aware System Identification with Universal Policies.

Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Fast Model-based Policy Search for Universal Policy Networks.

Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Sympathy-based Reinforcement Learning Agents.

Manisha Senadeera, Thommen George Karimpanal, Sunil Gupta, Santu Rana

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Episodic Policy Gradient Training.

Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Plug and Play, Model-Based Reinforcement Learning.

Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh

CoRR, 2021

Model-Based Episodic Memory Induces Dynamic Hybrid Controls.

Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A New Representation of Successor Features for Transfer across Dissimilar Environments.

Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Neuro-evolutionary Frameworks for Generalized Learning Agents.

Thommen George Karimpanal

CoRR, 2020

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning.

Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Self-organizing maps for storage and transfer of knowledge in reinforcement learning.

Thommen George Karimpanal, Roland Bouffanais

Adapt. Behav., 2019

2018

Experience Replay Using Transition Sequences.

Thommen George Karimpanal, Roland Bouffanais

Frontiers Neurorobotics, 2018

Self-Organizing Maps as a Storage and Transfer Mechanism in Reinforcement Learning.

Thommen George Karimpanal, Roland Bouffanais

CoRR, 2018

A self-replication basis for designing complex agents.

Thommen George Karimpanal

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Identification and off-policy learning of multiple objectives using adaptive clustering.

Thommen George Karimpanal, Erik Wilhelm

Neurocomputing, 2017

2015

Adapting Low-Cost Platforms for Robotics Research.

Thommen George Karimpanal, Mohammadreza Chamanbaz, Wenzheng Li, Timothy Jeruzalski, Abhishek Gupta, Erik Wilhelm

Proceedings of the workshop the Path to Success: Failures in rEal Robots co-located with IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), 2015

2013

Sensing discomfort of standing passengers in public rail transportation systems using a smart phone.

Thommen George Karimpanal, Harit Maganlal Gadhia, Ruben Sukumar, John-John Cabibihan

Proceedings of the 10th IEEE International Conference on Control and Automation, 2013