Kaushik Subramanian

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Predictive Control

Top Venues

Knowl. Eng. Rev.

Publications

Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. CoRR (2024)
Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. 602 (7896) (2022)
Patrick Mannion, Anna Harutyunyan, Bei Peng, Kaushik Subramanian
Special issue on adaptive and learning agents 2018. Knowl. Eng. Rev. 36 (2021)
David Isele, Reza Rahimi, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura
Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning. ICRA (2018)
Patrick Mannion, Anna Harutyunyan, Kaushik Subramanian
Special issue on adaptive and learning agents 2017. Knowl. Eng. Rev. 33 (2018)
David Isele, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura
Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning. CoRR (2017)
Himanshu Sahni, Brent Harrison, Kaushik Subramanian, Thomas Cederborg, Charles L. Isbell Jr., Andrea Thomaz
Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract). AAMAS (2016)
Kaushik Subramanian, Charles Lee Isbell Jr., Andrea Lockerd Thomaz
Exploration from Demonstration for Interactive Reinforcement Learning. AAMAS (2016)
Kaushik Subramanian, James B. Rawlings, Christos T. Maravelias
Economic model predictive control for inventory management in supply chains. Comput. Chem. Eng. 64 (2014)
Luis C. Cobo, Kaushik Subramanian, Charles Lee Isbell Jr., Aaron D. Lanterman, Andrea Lockerd Thomaz
Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains. Artif. Intell. 216 (2014)
Shane Griffith, Kaushik Subramanian, Jonathan Scholz, Charles L. Isbell Jr., Andrea Lockerd Thomaz
Policy Shaping: Integrating Human Feedback with Reinforcement Learning. NIPS (2013)
Kaushik Subramanian, James B. Rawlings, Christos T. Maravelias, Jesus Flores-Cerrillo, Lawrence Megan
Integration of control theory and scheduling methods for supply chain management. Comput. Chem. Eng. 51 (2013)
Baris Akgün, Kaushik Subramanian, Andrea Lockerd Thomaz
Novel Interaction Strategies for Learning from Teleoperation. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers (2012)
Kaushik Subramanian, Christos T. Maravelias, James B. Rawlings
A state-space model for chemical production scheduling. Comput. Chem. Eng. 47 (2012)
Baris Akgün, Kaushik Subramanian, Jaeeun Shim, Andrea Lockerd Thomaz
Learning Tasks and Skills Together From a Human Teacher. AAAI (2011)
Monica Babes, Vukosi Marivate, Kaushik Subramanian, Michael L. Littman
Apprenticeship Learning About Multiple Intentions. ICML (2011)
Kaushik Subramanian, Michael L. Littman
Efficient Apprenticeship Learning with Smart Humans. Enabling Intelligence through Middleware (2010)
Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman, Carlos Diuk
Generalizing Apprenticeship Learning across Hypothesis Classes. ICML (2010)
Kaushik Subramanian
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models. AAAI (2010)