Drew Bagnell - RankMe

24 papers A* 12A 4Journal 3Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Hybrid Inverse Reinforcement Learning. ICML Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury
2024	A*	`conf`	Hybrid Reinforcement Learning from Offline Observation Alone. ICML Yuda Song, Drew Bagnell, Aarti Singh
2024	A*	`conf`	REBEL: Reinforcement Learning via Regressing Relative Rewards. NeurIPS Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, Drew Bagnell, Jason D. Lee, Wen Sun
2023	A*	`conf`	Hybrid RL: Using both offline and online data can make RL efficient. ICLR Yuda Song, Yifei Zhou, Ayush Sekhari, Drew Bagnell, Akshay Krishnamurthy, Wen Sun
2023	A*	`conf`	Inverse Reinforcement Learning without Reinforcement Learning. ICML Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu
2023	A*	`conf`	The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. ICML Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury
2022	A*	`conf`	Causal Imitation Learning under Temporally Correlated Noise. ICML Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu
2019	A*	`conf`	Provably Efficient Imitation Learning from Observation Alone. ICML Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell
2018	J	`jnl`	A convex polynomial model for planar sliding mechanics: theory, application, and experimental validation. Int. J. Robotics Res. Jiaji Zhou, Matthew T. Mason, Robert Paolini, Drew Bagnell
2014	A	`conf`	Near Optimal Bayesian Active Learning for Decision Making. AISTATS Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha S. Srinivasa
2013	—	`conf`	Learning Policies for Contextual Submodular Prediction. ICML (3) Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell
2013	—	`conf`	Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation. Robotics: Science and Systems Dov Katz, Arun Venkatraman, Moslem Kazemi, Drew Bagnell, Anthony Stentz
2012	A*	`conf`	Agnostic System Identification for Model-Based Reinforcement Learning. ICML Stéphane Ross, Drew Bagnell
2012	J	`jnl`	Efficient Touch Based Localization through Submodularity CoRR Shervin Javdani, Matthew Klingensmith, Drew Bagnell, Nancy S. Pollard, Siddhartha S. Srinivasa
2012	—	`conf`	Efficient high dimensional maximum entropy modeling via symmetric partition functions. NIPS Paul Vernaza, Drew Bagnell
2012	A	`conf`	SpeedBoost: Anytime Prediction with Uniform Near-Optimality. AISTATS Alexander Grubb, Drew Bagnell
2011	A	`conf`	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. AISTATS Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell
2011	A*	`conf`	Computational Rationalization: The Inverse Equilibrium Problem. ICML Kevin Waugh, Brian D. Ziebart, Drew Bagnell
2011	A*	`conf`	Generalized Boosting Algorithms for Convex Optimization. ICML Alexander Grubb, Drew Bagnell
2010	A	`conf`	Efficient Reductions for Imitation Learning. AISTATS Stéphane Ross, Drew Bagnell
2010	—	`conf`	Maximum Causal Entropy Correlated Equilibria for Markov Games. Interactive Decision Theory and Game Theory Brian D. Ziebart, Drew Bagnell, Anind K. Dey
2009	—	`conf`	Autonomous Driving in Urban Environments: Boss and the Urban Challenge. The DARPA Urban Challenge 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
2008	J	`jnl`	Autonomous driving in urban environments: Boss and the Urban Challenge. J. Field Robotics 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
2005	A*	`conf`	Learning Opportunity Costs in Multi-Robot Market Based Planners. ICRA Jeff G. Schneider, David Apfelbaum, Drew Bagnell, Reid G. Simmons