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ORCIDMelinda T. Gervasio
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2020 – today
- 2023
[c30]Pedro Sequeira
, Melinda T. Gervasio:
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of Interestingness. xAI (1) 2023: 373-396- [c29]Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio:
Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space. xAI (3) 2023: 449-469 - [i7]Pedro Sequeira, Melinda T. Gervasio:
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness. CoRR abs/2307.08933 (2023) - [i6]Yunye Gong, Yi Yao, Xiao Lin, Ajay Divakaran, Melinda T. Gervasio:
Confidence Calibration for Systems with Cascaded Predictive Modules. CoRR abs/2309.12510 (2023) - 2022
- [i5]Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio:
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space. CoRR abs/2207.07710 (2022) - [i4]Pedro Sequeira, Daniel Elenius, Jesse Hostetler, Melinda T. Gervasio:
A Framework for Understanding and Visualizing Strategies of RL Agents. CoRR abs/2208.08552 (2022) - [i3]Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio:
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning. CoRR abs/2211.06376 (2022) - 2021
- [c28]Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio:
Confidence Calibration for Domain Generalization under Covariate Shift. ICCV 2021: 8938-8947 - [i2]Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio:
Confidence Calibration for Domain Generalization under Covariate Shift. CoRR abs/2104.00742 (2021) - 2020
- [j6]Pedro Sequeira, Melinda T. Gervasio:
Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations. Artif. Intell. 288: 103367 (2020)
2010 – 2019
- 2019
- [c27]Pedro Sequeira, Eric Yeh, Melinda T. Gervasio:
Interestingness Elements for Explainable Reinforcement Learning through Introspection. IUI Workshops 2019 - [i1]Pedro Sequeira, Melinda T. Gervasio:
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations. CoRR abs/1912.09007 (2019) - 2018
- [c26]Melinda T. Gervasio, Karen L. Myers, Eric Yeh, Boone Adkins:
Explanation to Avert Surprise. IUI Workshops 2018 - 2017
- [j5]Pauline M. Berry, Thierry Donneau-Golencer, Khang Duong, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith:
Evaluating intelligent knowledge systems: experiences with a user-adaptive assistant agent. Knowl. Inf. Syst. 52(2): 379-409 (2017) - 2016
- [c25]Karen L. Myers, Melinda T. Gervasio:
Solution Authoring via Demonstration and Annotation: An Empirical Study. ICALT 2016: 212-216 - 2013
- [c24]Karen L. Myers, Melinda T. Gervasio, Christian Jones, Kyle McIntyre, Kellie Keifer:
Drill Evaluation for Training Procedural Skills. AIED 2013: 561-570 - [c23]Melinda T. Gervasio, Thomas J. Lee:
Discovering action idioms bridging the gap between system-level events and human-level actions. VL/HCC 2013: 11-14 - 2012
- [j4]Karen L. Myers, Jake Kolojejchick, Carl Angiolillo, Tim Cummings, Tom Garvey, Matthew E. Gaston, Melinda T. Gervasio, Will Haines, Chris Jones, Kellie Keifer, Janette Knittel, David N. Morley, William Ommert, Scott Potter:
Learning by Demonstration for a Collaborative Planning Environment. AI Mag. 33(2): 15-27 (2012) - 2011
- [j3]Pauline M. Berry, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith:
PTIME: Personalized assistance for calendaring. ACM Trans. Intell. Syst. Technol. 2(4): 40:1-40:22 (2011) - [c22]Karen L. Myers, Jake Kolojejchick, Carl Angiolillo, Tim Cummings, Tom Garvey, Melinda T. Gervasio, Will Haines, Chris Jones, Janette Knittel, David N. Morley, William Ommert, Scott Potter:
Learning by Demonstration Technology for Military Planning and Decision Making: A Deployment Story. IAAI 2011: 1597-1604 - [c21]Melinda T. Gervasio, Eric Yeh, Karen L. Myers:
Learning to ask the right questions to help a learner learn. IUI 2011: 135-144 - [c20]Melinda T. Gervasio, Will Haines, David N. Morley, Thomas J. Lee, C. Adam Overholtzer, Shahin Saadati, Aaron Spaulding:
How to serve soup: interleaving demonstration and assisted editing to support nonprogrammers. IUI 2011: 331-334 - [p1]Jihie Kim, Karen L. Myers, Melinda T. Gervasio, Yolanda Gil:
Goal-Directed Metacontrol for Integrated Procedure Learning. Metareasoning 2011: 77-100
2000 – 2009
- 2009
- [c19]Steven Eker, Thomas J. Lee, Melinda T. Gervasio:
Iteration Learning by Demonstration. AAAI Spring Symposium: Agents that Learn from Human Teachers 2009: 40-47 - [c18]Melinda T. Gervasio, Karen L. Myers, Marie desJardins, Fusun Yaman:
Question Asking to Inform Preference Learning: A Case Study. AAAI Spring Symposium: Agents that Learn from Human Teachers 2009: 56-62 - [c17]Pauline M. Berry, Thierry Donneau-Golencer, Khang Duong, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith:
Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant. IAAI 2009 - [c16]Thomas D. Garvey, Melinda T. Gervasio, Thomas J. Lee, Karen L. Myers, Carl Angiolillo, Matthew E. Gaston, Janette Knittel, Jake Kolojejchick:
Learning by Demonstration to Support Military Planning and Decision Making. IAAI 2009 - [c15]Melinda T. Gervasio, Janet L. Murdock:
What were you thinking?: filling in missing dataflow through inference in learning from demonstration. IUI 2009: 157-166 - [c14]Aaron Spaulding, Jim Blythe, Will Haines, Melinda T. Gervasio:
From geek to sleek: integrating task learning tools to support end users in real-world applications. IUI 2009: 389-394 - 2007
- [j2]Karen L. Myers, Pauline Berry, Jim Blythe, Ken Conley, Melinda T. Gervasio, Deborah L. McGuinness, David N. Morley, Avi Pfeffer, Martha E. Pollack, Milind Tambe:
An Intelligent Personal Assistant for Task and Time Management. AI Mag. 28(2): 47-61 (2007) - 2006
- [c13]Pauline M. Berry, Melinda T. Gervasio, Bart Peintner, Tomás E. Uribe, Neil Yorke-Smith:
Multi-Criteria Evaluation in User-Centric Distributed Scheduling Agents. AAAI Spring Symposium: Distributed Plan and Schedule Management 2006: 151-152 - [c12]Pauline Berry, Bart Peintner, Ken Conley, Melinda T. Gervasio, Tomás E. Uribe, Neil Yorke-Smith:
Deploying a personalized time management agent. AAMAS 2006: 1564-1571 - 2005
- [c11]Pauline M. Berry, Melinda T. Gervasio, Tomás E. Uribe, Martha E. Pollack, Michael D. Moffitt:
A Personalized Time Management Assistant: Research Directions. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 1-6 - [c10]Melinda T. Gervasio, Michael D. Moffitt, Martha E. Pollack, Joseph M. Taylor, Tomás E. Uribe:
Active preference learning for personalized calendar scheduling assistance. IUI 2005: 90-97 - 2003
- [c9]Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley:
An adaptive stock tracker for personalized trading advice. IUI 2003: 197-203 - [c8]Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley:
Personalized trading recommendation system. IUI 2003: 332
1990 – 1999
- 1999
- [c7]Melinda T. Gervasio, Wayne Iba, Pat Langley:
Learning User Evaluation Functions for Adaptive Scheduling Assistance. ICML 1999: 152-161 - [c6]Wayne Iba, Melinda T. Gervasio:
Adapting to User Preferences in Crisis Response. IUI 1999: 87-90 - 1998
- [c5]Melinda T. Gervasio, Wayne Iba, Pat Langley:
Learning to Predict User Operations for Adaptive Scheduling. AAAI/IAAI 1998: 721-726 - 1994
- [c4]Melinda T. Gervasio, Gerald DeJong:
An Incremental Learning Approach for Completable Planning. ICML 1994: 78-86 - 1993
- [j1]Sang-Chan Park, Melinda T. Gervasio, Michael J. Shaw, Gerald DeJong:
Explanation-based learning for intelligent process planning. IEEE Trans. Syst. Man Cybern. 23(6): 1597-1616 (1993) - 1991
- [c3]Steve A. Chien, Melinda T. Gervasio, Gerald DeJong:
On Becoming Decreasingly Reactive: Learning to Deliberate Minimally. ML 1991: 288-292 - 1990
- [c2]Melinda T. Gervasio:
Learning General Completable Reactive Plans. AAAI 1990: 1016-1021
1980 – 1989
- 1989
- [c1]Melinda T. Gervasio, Gerald DeJong:
Explanation-Based Learning of Reactive Operations. ML 1989: 252-254
Coauthor Index
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