2008 |
16 | | Brian Ziebart,
Andrew L. Maas,
J. Andrew Bagnell,
Anind K. Dey:
Maximum Entropy Inverse Reinforcement Learning.
AAAI 2008: 1433-1438 |
15 | | Brian Ziebart,
Anind K. Dey,
J. Andrew Bagnell:
Fast Planning for Dynamic Preferences.
ICAPS 2008: 412-419 |
14 | EE | J. Andrew Bagnell,
David M. Bradley:
Differentiable Sparse Coding.
NIPS 2008: 113-120 |
13 | 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 |
2007 |
12 | EE | Nathan D. Ratliff,
J. Andrew Bagnell:
Kernel Conjugate Gradient for Fast Kernel Machines.
IJCAI 2007: 1017-1022 |
2006 |
11 | EE | Nathan D. Ratliff,
J. Andrew Bagnell,
Martin Zinkevich:
Maximum margin planning.
ICML 2006: 729-736 |
10 | 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 |
9 | EE | Nathan D. Ratliff,
David M. Bradley,
J. Andrew Bagnell,
Joel Chestnutt:
Boosting Structured Prediction for Imitation Learning.
NIPS 2006: 1153-1160 |
8 | 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 |
7 | 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 |
6 | | J. Andrew Bagnell:
Robust Supervised Learning.
AAAI 2005: 714-719 |
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 |