Drew Bagnell

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 6

Top Topics

Reinforcement Learning

Imitation Learning

Decision Making

Correlated Noise

Top Venues

Publications

Yuda Song, Yifei Zhou, Ayush Sekhari, Drew Bagnell, Akshay Krishnamurthy, Wen Sun
Hybrid RL: Using both offline and online data can make RL efficient. ICLR (2023)
Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. ICML (2023)
Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu
Inverse Reinforcement Learning without Reinforcement Learning. ICML (2023)
Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu
Causal Imitation Learning under Temporally Correlated Noise. ICML (2022)
Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell
Provably Efficient Imitation Learning from Observation Alone. ICML (2019)
Jiaji Zhou, Matthew T. Mason, Robert Paolini, Drew Bagnell
A convex polynomial model for planar sliding mechanics: theory, application, and experimental validation. Int. J. Robotics Res. 37 (2-3) (2018)
Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha S. Srinivasa
Near Optimal Bayesian Active Learning for Decision Making. AISTATS (2014)
Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell
Learning Policies for Contextual Submodular Prediction. ICML (3) (2013)
Dov Katz, Arun Venkatraman, Moslem Kazemi, Drew Bagnell, Anthony Stentz
Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation. Robotics: Science and Systems (2013)
Shervin Javdani, Matthew Klingensmith, Drew Bagnell, Nancy S. Pollard, Siddhartha S. Srinivasa
Efficient Touch Based Localization through Submodularity CoRR (2012)
Alexander Grubb, Drew Bagnell
SpeedBoost: Anytime Prediction with Uniform Near-Optimality. AISTATS (2012)
Stéphane Ross, Drew Bagnell
Agnostic System Identification for Model-Based Reinforcement Learning. ICML (2012)
Paul Vernaza, Drew Bagnell
Efficient high dimensional maximum entropy modeling via symmetric partition functions. NIPS (2012)
Alexander Grubb, Drew Bagnell
Generalized Boosting Algorithms for Convex Optimization. ICML (2011)
Kevin Waugh, Brian D. Ziebart, Drew Bagnell
Computational Rationalization: The Inverse Equilibrium Problem. ICML (2011)
Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. AISTATS (2011)
Stéphane Ross, Drew Bagnell
Efficient Reductions for Imitation Learning. AISTATS (2010)
Brian D. Ziebart, Drew Bagnell, Anind K. Dey
Maximum Causal Entropy Correlated Equilibria for Markov Games. Interactive Decision Theory and Game Theory (2010)
Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson
Autonomous Driving in Urban Environments: Boss and the Urban Challenge. The DARPA Urban Challenge (2009)
Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson
Autonomous driving in urban environments: Boss and the Urban Challenge. J. Field Robotics 25 (8) (2008)
Jeff G. Schneider, David Apfelbaum, Drew Bagnell, Reid G. Simmons
Learning Opportunity Costs in Multi-Robot Market Based Planners. ICRA (2005)