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Kaushik Subramanian
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2020 – today
- 2024
- [i2]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 abs/2406.12563 (2024) - 2022
- [j7]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 Raj 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): 223-228 (2022) - 2021
- [j6]Patrick Mannion
, Anna Harutyunyan, Bei Peng, Kaushik Subramanian:
Special issue on adaptive and learning agents 2018. Knowl. Eng. Rev. 36: e7 (2021) - 2020
- [b1]Kaushik Subramanian:
Policy-based exploration for efficient reinforcement learning. Georgia Institute of Technology, Atlanta, GA, USA, 2020
2010 – 2019
- 2018
- [j5]Patrick Mannion
, Anna Harutyunyan, Kaushik Subramanian:
Special issue on adaptive and learning agents 2017. Knowl. Eng. Rev. 33: e18 (2018) - [c10]David Isele, Reza Rahimi, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura:
Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning. ICRA 2018: 2034-2039 - 2017
- [i1]David Isele, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura:
Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning. CoRR abs/1705.01196 (2017) - 2016
- [c9]Kaushik Subramanian, Charles Lee Isbell Jr., Andrea Lockerd Thomaz:
Exploration from Demonstration for Interactive Reinforcement Learning. AAMAS 2016: 447-456 - [c8]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: 1455-1456 - 2014
- [j4]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: 103-128 (2014) - [j3]Kaushik Subramanian, James B. Rawlings, Christos T. Maravelias
:
Economic model predictive control for inventory management in supply chains. Comput. Chem. Eng. 64: 71-80 (2014) - 2013
- [j2]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: 4-20 (2013) - [c7]Shane Griffith, Kaushik Subramanian, Jonathan Scholz, Charles L. Isbell Jr., Andrea Lockerd Thomaz:
Policy Shaping: Integrating Human Feedback with Reinforcement Learning. NIPS 2013: 2625-2633 - 2012
- [j1]Kaushik Subramanian, Christos T. Maravelias
, James B. Rawlings:
A state-space model for chemical production scheduling. Comput. Chem. Eng. 47: 97-110 (2012) - [c6]Baris Akgün, Kaushik Subramanian, Andrea Lockerd Thomaz:
Novel Interaction Strategies for Learning from Teleoperation. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012 - 2011
- [c5]Baris Akgün, Kaushik Subramanian, Jaeeun Shim, Andrea Lockerd Thomaz:
Learning Tasks and Skills Together From a Human Teacher. AAAI 2011: 1868-1869 - [c4]Monica Babes, Vukosi Marivate, Kaushik Subramanian, Michael L. Littman:
Apprenticeship Learning About Multiple Intentions. ICML 2011: 897-904 - 2010
- [c3]Kaushik Subramanian:
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models. AAAI 2010: 1961-1962 - [c2]Kaushik Subramanian, Michael L. Littman:
Efficient Apprenticeship Learning with Smart Humans. Enabling Intelligence through Middleware 2010 - [c1]Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman, Carlos Diuk:
Generalizing Apprenticeship Learning across Hypothesis Classes. ICML 2010: 1119-1126
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last updated on 2024-08-02 19:18 CEST by the dblp team
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