J. Andrew Bagnell

Drew Bagnell

	2012
56		Brian D. Ziebart, Anind K. Dey, J. Andrew Bagnell: Probabilistic pointing target prediction via inverse optimal control. IUI 2012: 1-10
55		Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell: Predicting Contextual Sequences via Submodular Function Maximization CoRR abs/1202.2112: (2012)
54		Stéphane Ross, J. Andrew Bagnell: Agnostic System Identification for Model-Based Reinforcement Learning CoRR abs/1203.1007: (2012)
53		Alexander Grubb, Drew Bagnell: SpeedBoost: Anytime Prediction with Uniform Near-Optimality. Journal of Machine Learning Research - Proceedings Track 22: 458-466 (2012)
	2011
52		Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey: Maximum causal entropy correlated equilibria for Markov games. AAMAS 2011: 207-214
51		Stéphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell: Learning message-passing inference machines for structured prediction. CVPR 2011: 2737-2744
50		Kevin Waugh, Brian D. Ziebart, Drew Bagnell: Computational Rationalization: The Inverse Equilibrium Problem. ICML 2011: 1169-1176
49		Alexander Grubb, Drew Bagnell: Generalized Boosting Algorithms for Convex Optimization. ICML 2011: 1209-1216
48		Xuehan Xiong, Daniel Munoz, J. Andrew Bagnell, Martial Hebert: 3-D scene analysis via sequenced predictions over points and regions. ICRA 2011: 2609-2616
47		Bradford Neuman, Boris Sofman, Anthony Stentz, J. Andrew Bagnell: Segmentation-based online change detection for mobile robots. ICRA 2011: 5427-5434
46		Kevin Waugh, Brian D. Ziebart, J. Andrew Bagnell: Computational Rationalization: The Inverse Equilibrium Problem CoRR abs/1103.5254: (2011)
45		Alexander Grubb, J. Andrew Bagnell: Generalized Boosting Algorithms for Convex Optimization CoRR abs/1105.2054: (2011)
44		Stéphane Ross, J. Andrew Bagnell: Stability Conditions for Online Learnability CoRR abs/1108.3154: (2011)
43		Matthew Zucker, Nathan D. Ratliff, Martin Stolle, Joel E. Chestnutt, J. Andrew Bagnell, Christopher G. Atkeson, James Kuffner: Optimization and learning for rough terrain legged locomotion. I. J. Robotic Res. 30(2): 175-191 (2011)
42		Boris Sofman, Bradford Neuman, Anthony Stentz, J. Andrew Bagnell: Anytime online novelty and change detection for mobile robots. J. Field Robotics 28(4): 589-618 (2011)
41		Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell: A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. Journal of Machine Learning Research - Proceedings Track 15: 627-635 (2011)
	2010
40		Daniel Munoz, J. Andrew Bagnell, Martial Hebert: Stacked Hierarchical Labeling. ECCV (6) 2010: 57-70
39		Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey: Modeling Interaction via the Principle of Maximum Causal Entropy. ICML 2010: 1255-1262
38		Alexander Grubb, J. Andrew Bagnell: Boosted Backpropagation Learning for Training Deep Modular Networks. ICML 2010: 407-414
37		Brian D. Ziebart, Drew Bagnell, Anind K. Dey: Maximum Causal Entropy Correlated Equilibria for Markov Games. Interactive Decision Theory and Game Theory 2010
36		Jan Peters, J. Andrew Bagnell: Policy Gradient Methods. Encyclopedia of Machine Learning 2010: 774-776
35		Stéphane Ross, Geoffrey J. Gordon, J. Andrew Bagnell: No-Regret Reductions for Imitation Learning and Structured Prediction CoRR abs/1011.0686: (2010)
34		David Silver, J. Andrew Bagnell, Anthony Stentz: Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain. I. J. Robotic Res. 29(12): 1565-1592 (2010)
33		Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert: Space-carving Kernels for Accurate Rough Terrain Estimation. I. J. Robotic Res. 29(8): 981-996 (2010)
32		J. Andrew Bagnell, David M. Bradley, David Silver, Boris Sofman, Anthony Stentz: Learning for Autonomous Navigation. IEEE Robot. Automat. Mag. 17(2): 74-84 (2010)
31		Stéphane Ross, Drew Bagnell: Efficient Reductions for Imitation Learning. Journal of Machine Learning Research - Proceedings Track 9: 661-668 (2010)
	2009
30		Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey: Human Behavior Modeling with Maximum Entropy Inverse Optimal Control. AAAI Spring Symposium: Human Behavior Modeling 2009: 92-
29		Boris Sofman, J. Andrew Bagnell, Anthony Stentz: Bandit-Based Online Candidate Selection for Adjustable Autonomy. FSR 2009: 239-248
28		David Silver, J. Andrew Bagnell, Anthony Stentz: Applied Imitation Learning for Autonomous Navigation in Complex Natural Terrain. FSR 2009: 249-259
27		Garratt Gallagher, Siddhartha S. Srinivasa, J. Andrew Bagnell, Dave Ferguson: GATMO: A Generalized Approach to Tracking Movable Objects. ICRA 2009: 2043-2048
26		Nathan D. Ratliff, Matthew Zucker, J. Andrew Bagnell, Siddhartha S. Srinivasa: CHOMP: Gradient optimization techniques for efficient motion planning. ICRA 2009: 489-494
25		David Silver, J. Andrew Bagnell, Anthony Stentz: Perceptual Interpretation for Autonomous Navigation through Dynamic Imitation Learning. ISRR 2009: 433-449
24		Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert: Accurate rough terrain estimation with space-carving kernels. Robotics: Science and Systems 2009
23		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 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: 1-59
22		Nathan D. Ratliff, David Silver, J. Andrew Bagnell: Learning to search: Functional gradient techniques for imitation learning. Auton. Robots 27(1): 25-53 (2009)
21		Nathan D. Ratliff, Brian D. Ziebart, Kevin Peterson, J. Andrew Bagnell, Martial Hebert, Anind K. Dey, Siddhartha S. Srinivasa: Inverse Optimal Heuristic Control for Imitation Learning. Journal of Machine Learning Research - Proceedings Track 5: 424-431 (2009)
	2008
20		Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey: Maximum Entropy Inverse Reinforcement Learning. AAAI 2008: 1433-1438
19		Brian D. Ziebart, Anind K. Dey, J. Andrew Bagnell: Fast Planning for Dynamic Preferences. ICAPS 2008: 412-419
18		J. Andrew Bagnell, David M. Bradley: Differentiable Sparse Coding. NIPS 2008: 113-120
17		Brian D. Ziebart, Andrew L. Maas, Anind K. Dey, J. Andrew Bagnell: Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior. UbiComp 2008: 322-331
16		J. Andrew Bagnell, Stefan Schaal: Editorial: Special Issue on Machine Learning in Robotics. I. J. Robotic Res. 27(2): 155-156 (2008)
15		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 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): 425-466 (2008)
	2007
14		Nathan D. Ratliff, J. Andrew Bagnell: Kernel Conjugate Gradient for Fast Kernel Machines. IJCAI 2007: 1017-1022
13		Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich: (Approximate) Subgradient Methods for Structured Prediction. Journal of Machine Learning Research - Proceedings Track 2: 380-387 (2007)
	2006
12		Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich: Maximum margin planning. ICML 2006: 729-736
11		David Silver, Boris Sofman, Nicolas Vandapel, J. Andrew Bagnell, Anthony Stentz: Experimental Analysis of Overhead Data Processing To Support Long Range Navigation. IROS 2006: 2443-2450
10		Nathan D. Ratliff, David M. Bradley, J. Andrew Bagnell, Joel E. Chestnutt: Boosting Structured Prediction for Imitation Learning. NIPS 2006: 1153-1160
9		Boris Sofman, Ellie Lin, J. Andrew Bagnell, Nicolas Vandapel, Anthony Stentz: Improving Robot Navigation Through Self-Supervised Online Learning. Robotics: Science and Systems 2006
8		Boris Sofman, Ellie Lin, J. Andrew Bagnell, John Cole, Nicolas Vandapel, Anthony Stentz: Improving robot navigation through self-supervised online learning. J. Field Robotics 23(11-12): 1059-1075 (2006)
	2005
7		J. Andrew Bagnell: Robust Supervised Learning. AAAI 2005: 714-719
6		Jeff G. Schneider, David Apfelbaum, Drew Bagnell, Reid G. Simmons: Learning Opportunity Costs in Multi-Robot Market Based Planners. ICRA 2005: 1151-1156
5		J. Andrew Bagnell, Andrew Y. Ng: On Local Rewards and Scaling Distributed Reinforcement Learning. NIPS 2005
	2003
4		J. Andrew Bagnell, Jeff G. Schneider: Covariant Policy Search. IJCAI 2003: 1019-1024
3		J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff G. Schneider: Policy Search by Dynamic Programming. NIPS 2003
	2002
2		David M. Blei, J. Andrew Bagnell, Andrew McCallum: Learning with Scope, with Application to Information Extraction and Classification. UAI 2002: 53-60
	2001
1		J. Andrew Bagnell, Jeff G. Schneider: Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods. ICRA 2001: 1615-1620

Coauthor Index

1	Joshua Anhalt	[15] [23]
2	David Apfelbaum	[6]
3	Christopher G. Atkeson	[43]
4	Hong Bae	[15] [23]
5	Christopher R. Baker	[15] [23]
6	Robert Bittner	[15] [23]
7	David M. Blei	[2]
8	David M. Bradley	[10] [18] [32]
9	Thomas Brown	[15] [23]
10	Joel E. Chestnutt	[10] [43]
11	M. N. Clark	[15] [23]
12	John Cole	[8]
13	Michael Darms	[15] [23]
14	Daniel Demitrish	[15] [23]
15	Anind K. Dey	[17] [19] [20] [21] [30] [37] [39] [52] [56]
16	Debadeepta Dey	[55]
17	John M. Dolan	[15] [23]
18	Dave Duggins	[15] [23]
19	Dave Ferguson	[15] [23] [27]
20	Tugrul Galatali	[15] [23]
21	Garratt Gallagher	[27]
22	Christopher Geyer	[15] [23]
23	Michele Gittleman	[15] [23]
24	Geoffrey J. Gordon	[35] [41]
25	Alexander Grubb	[38] [45] [49] [53]
26	Raia Hadsell	[24] [33]
27	Sam Harbaugh	[15] [23]
28	Martial Hebert	[15] [21] [23] [24] [33] [40] [48] [51] [55]
29	Thomas M. Howard	[15] [23]
30	Daniel F. Huber	[24] [33]
31	Sham M. Kakade (Sham Kakade)	[3]
32	Alonzo Kelly	[15] [23]
33	Sascha Kolski	[15] [23]
34	James J. Kuffner (James J. Kuffner Jr., James Kuffner)	[43]
35	Maxim Likhachev	[15] [23]
36	Ellie Lin	[8] [9]
37	Bakhtiar Litkouhi	[15] [23]
38	Tian Yu Liu	[55]
39	Andrew L. Maas	[17] [20] [30]
40	Andrew McCallum	[2]
41	Matthew McNaughton	[15] [23]
42	Nick Miller	[15] [23]
43	Daniel Munoz	[40] [48] [51]
44	Bradford Neuman	[42] [47]
45	Andrew Y. Ng	[3] [5]
46	Jim Nickolaou	[15] [23]
47	Jan Peters	[36]
48	Kevin Peterson	[15] [21] [23]
49	Brian Pilnick	[15] [23]
50	Ragunathan Rajkumar (Raj Rajkumar)	[15] [23]
51	Nathan D. Ratliff	[10] [12] [13] [14] [21] [22] [26] [43]
52	Stéphane Ross	[31] [35] [41] [44] [51] [54]
53	Paul E. Rybski	[15] [23]
54	Varsha Sadekar	[15] [23]
55	Bryan Salesky	[15] [23]
56	Stefan Schaal	[16]
57	Jeff G. Schneider	[1] [3] [4] [6]
58	Young-Woo Seo	[15] [23]
59	David Silver	[11] [22] [25] [28] [32] [34]
60	Reid G. Simmons	[6]
61	Sanjiv Singh	[15] [23]
62	Jarrod M. Snider	[15] [23]
63	Boris Sofman	[8] [9] [11] [29] [32] [42] [47]
64	Siddhartha S. Srinivasa	[21] [26] [27]
65	Anthony Stentz	[8] [9] [11] [15] [23] [25] [28] [29] [32] [34] [42] [47]
66	Martin Stolle	[43]
67	Joshua Struble	[15] [23]
68	Michael Taylor	[15] [23]
69	Chris Urmson	[15] [23]
70	Nicolas Vandapel	[8] [9] [11]
71	Kevin Waugh	[46] [50]
72	William Whittaker (Red Whittaker)	[15] [23]
73	Ziv Wolkowicki	[15] [23]
74	Xuehan Xiong	[48]
75	Wende Zhang	[15] [23]
76	Brian D. Ziebart	[17] [19] [20] [21] [30] [37] [39] [46] [50] [52] [56]
77	Jason Ziglar	[15] [23]
78	Martin Zinkevich	[12] [13]
79	Matthew Zucker	[26] [43]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page