| 2008 |
|---|
| 55 | EE | Arkady Epshteyn,
Adam Vogel,
Gerald DeJong:
Active reinforcement learning.
ICML 2008: 296-303 |
| 2007 |
|---|
| 54 | EE | Shiau Hong Lim,
Li-Lun Wang,
Gerald DeJong:
Explanation-Based Feature Construction.
IJCAI 2007: 931- |
| 53 | EE | Qiang Sun,
Li-Lun Wang,
Shiau Hong Lim,
Gerald DeJong:
Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters.
IJDAR 10(3-4): 175-186 (2007) |
| 2006 |
|---|
| 52 | | Qiang Sun,
Li-Lun Wang,
Gerald DeJong:
Explanation-Based Learning for Image Understanding.
AAAI 2006 |
| 51 | EE | Gerald DeJong:
Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning.
ECML 2006: 102-113 |
| 50 | | Geoffrey Levine,
Gerald DeJong:
Explanation-Based Acquisition of Planning Operators.
ICAPS 2006: 152-161 |
| 49 | EE | Arkady Epshteyn,
Gerald DeJong:
Qualitative reinforcement learning.
ICML 2006: 305-312 |
| 48 | EE | Arkady Epshteyn,
Gerald DeJong:
Generative Prior Knowledge for Discriminative Classification.
J. Artif. Intell. Res. (JAIR) 27: 25-53 (2006) |
| 2005 |
|---|
| 47 | EE | Qiang Sun,
Gerald DeJong:
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge.
CVPR (2) 2005: 177-183 |
| 46 | EE | Arkady Epshteyn,
Gerald DeJong:
Rotational Prior Knowledge for SVMs.
ECML 2005: 108-119 |
| 45 | EE | Shiau Hong Lim,
Gerald DeJong:
Towards Finite-Sample Convergence of Direct Reinforcement Learning.
ECML 2005: 230-241 |
| 44 | EE | Qiang Sun,
Gerald DeJong:
Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning.
ICML 2005: 864-871 |
| 43 | EE | Arkady Epshteyn,
María Jesús Garzarán,
Gerald DeJong,
David A. Padua,
Gang Ren,
Xiaoming Li,
Kamen Yotov,
Keshav Pingali:
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization.
LCPC 2005: 259-273 |
| 2003 |
|---|
| 42 | | Adam Laud,
Gerald DeJong:
The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping.
ICML 2003: 440-447 |
| 41 | EE | Kamen Yotov,
Xiaoming Li,
Gang Ren,
Michael Cibulskis,
Gerald DeJong,
María Jesús Garzarán,
David A. Padua,
Keshav Pingali,
Paul Stodghill,
Peng Wu:
A comparison of empirical and model-driven optimization.
PLDI 2003: 63-76 |
| 2002 |
|---|
| 40 | | Adam Laud,
Gerald DeJong:
Reinforcement Learning and Shaping: Encouraging Intended Behaviors.
ICML 2002: 355-362 |
| 2001 |
|---|
| 39 | | Mark Brodie,
Gerald DeJong:
Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control.
Machine Learning 45(1): 45-76 (2001) |
| 2000 |
|---|
| 38 | | Gerald DeJong:
Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning.
ICML 2000: 215-222 |
| 1999 |
|---|
| 37 | | Mark Brodie,
Gerald DeJong:
Learning to Ride a Bicycle using Iterated Phantom Induction.
ICML 1999: 57-66 |
| 1998 |
|---|
| 36 | | Mark Brodie,
Gerald DeJong:
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way.
AAAI/IAAI 1998: 665-670 |
| 1997 |
|---|
| 35 | | Gerald DeJong:
Explanation-Based Learning.
The Computer Science and Engineering Handbook 1997: 499-520 |
| 34 | EE | Gerald DeJong,
Scott Bennett:
Permissive Planning: Extending Classical Planning to Uncertain Task Domains.
Artif. Intell. 89(1-2): 173-217 (1997) |
| 1996 |
|---|
| 33 | EE | Jonathan Gratch,
Gerald DeJong:
A Statistical Approach to Adaptive Problem Solving.
Artif. Intell. 88(1-2): 101-142 (1996) |
| 32 | | Scott Bennett,
Gerald DeJong:
Real-World Robotics: Learning to Plan for Robust Execution.
Machine Learning 23(2-3): 121-161 (1996) |
| 1995 |
|---|
| 31 | | Gerald DeJong:
A Case Study of Explanation-Based Control.
ICML 1995: 167-175 |
| 30 | | Gerald DeJong,
Scott Bennett:
Extending Classical Planning to Real-World Execution with Machine Learning.
IJCAI 1995: 1153-1161 |
| 29 | | Scott Bennett,
Gerald DeJong:
GRASPER: A Permissive Planning Robot.
IJCAI 1995: 2065-2066 |
| 1994 |
|---|
| 28 | | Jonathan Gratch,
Steve A. Chien,
Gerald DeJong:
Improving Learning Performance Through Rational Resource Allocation.
AAAI 1994: 576-581 |
| 27 | | Steve A. Chien,
Gerald DeJong:
Constructing Simplified Plans Via Truth Criteria Approximation.
AIPS 1994: 19-24 |
| 26 | | Melinda T. Gervasio,
Gerald DeJong:
An Incremental Learning Approach for Completable Planning.
ICML 1994: 78-86 |
| 25 | | Gerald DeJong:
Learning to Plan in Continuous Domains.
Artif. Intell. 65(1): 71-141 (1994) |
| 1993 |
|---|
| 24 | | Gerald DeJong,
Scott Bennett:
Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds.
AAAI 1993: 508-513 |
| 23 | | Jonathan Gratch,
Steve A. Chien,
Gerald DeJong:
Learning Search Control Knowledge for Deep Space Network Scheduling.
ICML 1993: 135-142 |
| 1992 |
|---|
| 22 | | Jonathan Gratch,
Gerald DeJong:
COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning.
AAAI 1992: 235-240 |
| 21 | | Jonathan Gratch,
Gerald DeJong:
An Analysis of Learning to Plan as a Search Problem.
ML 1992: 179-188 |
| 1991 |
|---|
| 20 | | Steve A. Chien,
Melinda T. Gervasio,
Gerald DeJong:
On Becoming Decreasingly Reactive: Learning to Deliberate Minimally.
ML 1991: 288-292 |
| 19 | | Jonathan Gratch,
Gerald DeJong:
A Hybrid Approach to Guaranteed Effective Control Strategies.
ML 1991: 509-513 |
| 18 | | Scott Bennett,
Gerald DeJong:
Comparing Stochastic Planning to the Acquisition of Increasingly Permissive Plans.
ML 1991: 586-590 |
| 17 | | Gerald DeJong,
Jonathan Gratch:
Steve Minton, Learning Search Control Knowledge: An Explanation-Based Approach.
Artif. Intell. 50(1): 117-127 (1991) |
| 1990 |
|---|
| 16 | | Jude W. Shavlik,
Gerald DeJong:
Learning in Mathematically-Based Domains: Understanding and Generalizing Obstacle Cancellations.
Artif. Intell. 45(1-2): 1-45 (1990) |
| 1989 |
|---|
| 15 | | Melinda T. Gervasio,
Gerald DeJong:
Explanation-Based Learning of Reactive Operations.
ML 1989: 252-254 |
| 1988 |
|---|
| 14 | | Gerald DeJong:
Some Thoughts on the Present and Future of Explanation-Based Learning.
ECAI 1988: 690-697 |
| 13 | | Shankar A. Rajamoney,
Gerald DeJong:
Active Explanation Reduction: An Approach to the Multiple Explanations Problem.
ML 1988: 242-255 |
| 1987 |
|---|
| 12 | | Jude W. Shavlik,
Gerald DeJong:
BAGGER: An EBL System that Extends and Generalizes Explanations.
AAAI 1987: 516-520 |
| 11 | | Shankar A. Rajamoney,
Gerald DeJong:
The Classification, Detection and Handling of Imperfect Theory Problems.
IJCAI 1987: 205-207 |
| 10 | | Jude W. Shavlik,
Gerald DeJong:
An Explanation-based Approach to Generalizing Number.
IJCAI 1987: 236-238 |
| 1986 |
|---|
| 9 | | Gerald DeJong,
Raymond J. Mooney:
Explanation-Based Learning: An Alternative View.
Machine Learning 1(2): 145-176 (1986) |
| 1985 |
|---|
| 8 | | Raymond J. Mooney,
Gerald DeJong:
Learning Schemata for Natural Language Processing.
IJCAI 1985: 681-687 |
| 7 | | Shankar A. Rajamoney,
Gerald DeJong,
Boi Faltings:
Towards a Model of Conceptual Knowledge Acquisition Through Directed Experimentation.
IJCAI 1985: 688-690 |
| 1983 |
|---|
| 6 | | Gerald DeJong:
Acquiring Schemata Through Understanding and Generalizing Plans.
IJCAI 1983: 462-464 |
| 5 | EE | Gerald DeJong:
Artificial Intelligence Implications for Information Retrieval.
SIGIR 1983: 10-17 |
| 1982 |
|---|
| 4 | | Gerald DeJong:
Automatic Schema Acquisition in a Natural Language Environment.
AAAI 1982: 410-413 |
| 1981 |
|---|
| 3 | | Gerald DeJong:
Generalizations Based on Explanations.
IJCAI 1981: 67-69 |
| 1980 |
|---|
| 2 | EE | Roger C. Schank,
Janet L. Kolodner,
Gerald DeJong:
Conceptual Information Retrieval.
SIGIR 1980: 94-116 |
| 1977 |
|---|
| 1 | | Gerald DeJong:
Skimming Newspaper Stories by Computer.
IJCAI 1977: 16 |
