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Journal Papers

Luis C. Cobo, Kaushik Subramanian, Charles L. Isbell, Aaron D. Lanterman, Andrea L. Thomaz: Abstraction from Demonstration for Efficient Reinforcement Learning in High-Dimensional Domains. Appeared in the Artificial Intelligence Journal (AIJ) 2014. Link


Conference Papers

Kaushik Subramanian, Charles L. Isbell, Andrea L. Thomaz: Exploration from Demonstration for Interactive Reinforcement Learning. Appeared in AAMAS 2016, Singapore, May 2016. Pdf

(Extended Abstract) Himanshu Sahni, Brent Harrison, Kaushik Subramanian, Thomas Cederborg, Charles L. Isbell, Andrea L. Thomaz: Policy Shaping in Domains with Multiple Optimal Policies. Appeared in AAMAS 2016, Singapore, May 2016. Pdf
Shane Griffith, Kaushik Subramanian, Jonathan Scholz, Charles L. Isbell, Andrea L. Thomaz: Policy Shaping: Integrating Human Feedback with Reinforcement Learning. Appeared in NIPS 2013, Lake Tahoe, Nevada, USA, December 2013. Pdf
Monica Babes-Vroman, Vukosi Marivate, Kaushik Subramanian, Michael L. Littman: Apprenticeship Learning about Multiple Intentions. Appeared in ICML 2011, Bellevue, Washington, USA, June 2011. Pdf Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman, Carlos Diuk: Generalizing Apprenticeship Learning across Hypothesis Classes. Appeared in ICML 2010, Haifa, Israel, June 2010. Pdf

Workshop Papers

Kaushik Subramanian, Jonathan Scholz, Charles L. Isbell, Andrea L. Thomaz: Efficient Exploration in Monte Carlo Tree Search using Human Action Abstractions. Appeared in the FILM Workshop at NIPS 2016, Barcelona, Spain, December 2016. Pdf

Baris Akgun, Kaushik Subramanian, Andrea L. Thomaz: Novel Interaction Strategies for Learning from Teleoperation. Appeared in the RLIHT Symposium at AAAI 2012, Virginia, USA, November 2nd 2012. Pdf

Kaushik Subramanian, Charles L. Isbell, Andrea L. Thomaz: Learning Options through Human Interaction. Appeared in the IJCAI ALIHT Workshop 2011, Barcelona, Spain, July 2011. Pdf

Kaushik Subramanian: Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Regression. Appeared in AAAI 2010, Atlanta, USA, July 2010. Pdf

Kaushik Subramanian: Higher Order Gabor Statistics for Speech and Image Signal Feature Extraction. Presented at Dhi Yantra 2008, Workshop on Supercomputing and Brain Modeling conducted by WARFT, India.


Technical Reports

Baris Akgun, Kaushik Subramanian, Jaeeun Shim, Andrea L.  Thomaz: Learning Tasks and Skills Together From a Human Teacher. Appeared in AAAI 2011, San Francisco, USA, August 7th 2011. Pdf

Kaushik Subramanian and Michael Littman: Efficient Apprenticeship Learning with Smart Humans. Appeared in the Robotics Exhibition, AAAI 2010, Atlanta, USA, July 2010. Pdf

Kaushik Subramanian, Gerhard Lakemeyer: Robot Learning by Demonstration.  RWTH Technical Report, August 2009. Pdf

Shrikanth Ganapathy, Kaushik Subramanian: Implementation of FPGA-based Object Tracking Algorithm. Undergraduate Project Report, SVCE, Tamil Nadu, India, May 2008. Pdf

Kaushik Subramanian and N. Venkateswaran: Computationally Efficient Gabor Transform and its application for extracting Dominant Speech Signal Harmonics, WARFT Research Foundation, May 2008. Pdf


Thesis

HELP - Human assisted Efficient Learning Protocols
Kaushik Subramanian
Master's Thesis, Rutgers University, May 2010. Pdf