Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models. - Kaushik Subramanian (AAAI, 2010)

Efficient Apprenticeship Learning with Smart Humans. - Kaushik Subramanian; Michael L. Littman (Enabling Intelligence through Middleware, 2010)

Generalizing Apprenticeship Learning across Hypothesis Classes. - Thomas J. Walsh 001; Kaushik Subramanian; Michael L. Littman; Carlos Diuk (ICML, 2010)

Learning Tasks and Skills Together From a Human Teacher. - Baris Akgün; Kaushik Subramanian; Jaeeun Shim; Andrea Lockerd Thomaz (AAAI, 2011)

Apprenticeship Learning About Multiple Intentions. - Monica Babes; Vukosi Marivate; Kaushik Subramanian; Michael L. Littman (ICML, 2011)

Novel Interaction Strategies for Learning from Teleoperation. - Baris Akgün; Kaushik Subramanian; Andrea Lockerd Thomaz (AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, 2012)

A state-space model for chemical production scheduling. - Kaushik Subramanian; Christos T. Maravelias; James B. Rawlings (Comput. Chem. Eng., 2012)

Policy Shaping: Integrating Human Feedback with Reinforcement Learning. - Shane Griffith; Kaushik Subramanian; Jonathan Scholz; Charles L. Isbell Jr.; Andrea Lockerd Thomaz (NIPS, 2013)

Integration of control theory and scheduling methods for supply chain management. - Kaushik Subramanian; James B. Rawlings; Christos T. Maravelias; Jesus Flores-Cerrillo; Lawrence Megan (Comput. Chem. Eng., 2013)

Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains. - Luis C. Cobo; Kaushik Subramanian; Charles Lee Isbell Jr.; Aaron D. Lanterman; Andrea Lockerd Thomaz (Artif. Intell., 2014)

Economic model predictive control for inventory management in supply chains. - Kaushik Subramanian; James B. Rawlings; Christos T. Maravelias (Comput. Chem. Eng., 2014)

Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract). - Himanshu Sahni; Brent Harrison; Kaushik Subramanian; Thomas Cederborg; Charles L. Isbell Jr.; Andrea Thomaz (AAMAS, 2016)

Exploration from Demonstration for Interactive Reinforcement Learning. - Kaushik Subramanian; Charles Lee Isbell Jr.; Andrea Lockerd Thomaz (AAMAS, 2016)

Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning. - David Isele; Akansel Cosgun; Kaushik Subramanian; Kikuo Fujimura (CoRR, 2017)

Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning. - David Isele; Reza Rahimi; Akansel Cosgun; Kaushik Subramanian; Kikuo Fujimura (ICRA, 2018)

Special issue on adaptive and learning agents 2017. - Patrick Mannion; Anna Harutyunyan; Kaushik Subramanian (Knowl. Eng. Rev., 2018)

Policy-based exploration for efficient reinforcement learning. - Kaushik Subramanian (2020)

Special issue on adaptive and learning agents 2018. - Patrick Mannion; Anna Harutyunyan; Bei Peng 001; Kaushik Subramanian (Knowl. Eng. Rev., 2021)

Outracing champion Gran Turismo drivers with deep reinforcement learning. - Peter R. Wurman; Samuel Barrett; Kenta Kawamoto; James MacGlashan; Kaushik Subramanian; Thomas J. Walsh 001; Roberto Capobianco; Alisa Devlic; Franziska Eckert; Florian Fuchs 004; Leilani Gilpin; Piyush Khandelwal; et al. (Nat., 2022)

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration. - Borja G. León; Francesco Riccio; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (NeurIPS, 2024)

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. - Miguel Vasco; Takuma Seno; Kenta Kawamoto; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (RLJ, 2024)

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. - Hojoon Lee; Dongyoon Hwang; Donghu Kim; Hyunseung Kim; Jun Jet Tai; Kaushik Subramanian; Peter R. Wurman; Jaegul Choo; Peter Stone 001; Takuma Seno (ICLR, 2025)

A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7. - Hojoon Lee; Takuma Seno; Jun Jet Tai; Kaushik Subramanian; Kenta Kawamoto; Peter Stone 001; Peter R. Wurman (IEEE Robotics Autom. Lett., 2025)