| 2006 |
|---|
| 13 | | Su-In Lee,
Honglak Lee,
Pieter Abbeel,
Andrew Y. Ng:
Efficient L1 Regularized Logistic Regression.
AAAI 2006 |
| 12 | EE | Pieter Abbeel,
Morgan Quigley,
Andrew Y. Ng:
Using inaccurate models in reinforcement learning.
ICML 2006: 1-8 |
| 11 | EE | Pieter Abbeel,
Adam Coates,
Morgan Quigley,
Andrew Y. Ng:
An Application of Reinforcement Learning to Aerobatic Helicopter Flight.
NIPS 2006: 1-8 |
| 10 | EE | Gal Chechik,
Geremy Heitz,
Gal Elidan,
Pieter Abbeel,
Daphne Koller:
Max-margin classification of incomplete data.
NIPS 2006: 233-240 |
| 9 | EE | Pieter Abbeel,
Daphne Koller,
Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time and Sample Complexity.
Journal of Machine Learning Research 7: 1743-1788 (2006) |
| 2005 |
|---|
| 8 | EE | Pieter Abbeel,
Andrew Y. Ng:
Exploration and apprenticeship learning in reinforcement learning.
ICML 2005: 1-8 |
| 7 | EE | Pieter Abbeel,
Varun Ganapathi,
Andrew Y. Ng:
Learning vehicular dynamics, with application to modeling helicopters.
NIPS 2005 |
| 6 | EE | Pieter Abbeel,
Adam Coates,
Michael Montemerlo,
Andrew Y. Ng,
Sebastian Thrun:
Discriminative Training of Kalman Filters.
Robotics: Science and Systems 2005: 289-296 |
| 5 | EE | Pieter Abbeel,
Daphne Koller,
Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time & Sample Complexity.
UAI 2005: 1-9 |
| 2004 |
|---|
| 4 | EE | Pieter Abbeel,
Andrew Y. Ng:
Apprenticeship learning via inverse reinforcement learning.
ICML 2004 |
| 3 | EE | Pieter Abbeel,
Andrew Y. Ng:
Learning first-order Markov models for control.
NIPS 2004 |
| 2003 |
|---|
| 2 | EE | Benjamin Taskar,
Ming Fai Wong,
Pieter Abbeel,
Daphne Koller:
Link Prediction in Relational Data.
NIPS 2003 |
| 2002 |
|---|
| 1 | | Benjamin Taskar,
Pieter Abbeel,
Daphne Koller:
Discriminative Probabilistic Models for Relational Data.
UAI 2002: 485-492 |
