J. Andrew Bagnell Vis

Drew Bagnell

*	2009
20	EE	Nathan D. Ratliff, David Silver, J. Andrew Bagnell: Learning to search: Functional gradient techniques for imitation learning. Auton. Robots 27(1): 25-53 (2009)
	2008
19		Brian Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey: Maximum Entropy Inverse Reinforcement Learning. AAAI 2008: 1433-1438
18		Brian Ziebart, Anind K. Dey, J. Andrew Bagnell: Fast Planning for Dynamic Preferences. ICAPS 2008: 412-419
17	EE	J. Andrew Bagnell, David M. Bradley: Differentiable Sparse Coding. NIPS 2008: 113-120
16	EE	Brian 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
15		J. Andrew Bagnell, Stefan Schaal: Editorial: Special Issue on Machine Learning in Robotics. I. J. Robotic Res. 27(2): 155-156 (2008)
14	EE	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, Matt McNaughton, Nick Miller, Kevin Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod 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
13	EE	Nathan D. Ratliff, J. Andrew Bagnell: Kernel Conjugate Gradient for Fast Kernel Machines. IJCAI 2007: 1017-1022
	2006
12	EE	Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich: Maximum margin planning. ICML 2006: 729-736
11	EE	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	EE	Nathan D. Ratliff, David M. Bradley, J. Andrew Bagnell, Joel E. Chestnutt: Boosting Structured Prediction for Imitation Learning. NIPS 2006: 1153-1160
9	EE	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	EE	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	EE	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	EE	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	[14]
2	David Apfelbaum	[6]
3	Hong Bae	[14]
4	Christopher R. Baker	[14]
5	Robert Bittner	[14]
6	David M. Blei	[2]
7	David M. Bradley	[10] [17]
8	Thomas Brown	[14]
9	Joel E. Chestnutt	[10]
10	M. N. Clark	[14]
11	John Cole	[8]
12	Michael Darms	[14]
13	Daniel Demitrish	[14]
14	Anind K. Dey	[16] [18] [19]
15	John M. Dolan	[14]
16	Dave Duggins	[14]
17	Dave Ferguson	[14]
18	Tugrul Galatali	[14]
19	Christopher Geyer	[14]
20	Michele Gittleman	[14]
21	Sam Harbaugh	[14]
22	Martial Hebert	[14]
23	Thomas M. Howard	[14]
24	Sham M. Kakade (Sham Kakade)	[3]
25	Alonzo Kelly	[14]
26	Sascha Kolski	[14]
27	Maxim Likhachev	[14]
28	Ellie Lin	[8] [9]
29	Bakhtiar Litkouhi	[14]
30	Andrew L. Maas	[16] [19]
31	Andrew McCallum	[2]
32	Matt McNaughton	[14]
33	Nick Miller	[14]
34	Andrew Y. Ng	[3] [5]
35	Jim Nickolaou	[14]
36	Kevin Peterson	[14]
37	Brian Pilnick	[14]
38	Raj Rajkumar	[14]
39	Nathan D. Ratliff	[10] [12] [13] [20]
40	Paul E. Rybski	[14]
41	Varsha Sadekar	[14]
42	Bryan Salesky	[14]
43	Stefan Schaal	[15]
44	Jeff G. Schneider	[1] [3] [4] [6]
45	Young-Woo Seo	[14]
46	David Silver	[11] [20]
47	Reid G. Simmons	[6]
48	Sanjiv Singh	[14]
49	Jarrod Snider	[14]
50	Boris Sofman	[8] [9] [11]
51	Anthony Stentz	[8] [9] [11] [14]
52	Joshua Struble	[14]
53	Michael Taylor	[14]
54	Chris Urmson	[14]
55	Nicolas Vandapel	[8] [9] [11]
56	William Whittaker (Red Whittaker)	[14]
57	Ziv Wolkowicki	[14]
58	Wende Zhang	[14]
59	Brian Ziebart	[16] [18] [19]
60	Jason Ziglar	[14]
61	Martin Zinkevich	[12]

Colors in the list of coauthors