AI as Collaborative Partner: Rethinking Human-AI Teaming for the Real World.

Melinda T. Gervasio Melinda T. Gervasio Pedro Sequeira Eric Yeh Nicholas Marion Sarah Bakst Helen Gent AI as Collaborative Partner: Rethinking Human-AI Teaming for the Real World. 63-66 2025 AAAI Spring Symposia https://doi.org/10.1609/aaaiss.v5i1.35557 conf/aaaiss/2025 db/conf/aaaiss/aaaiss2025.html#GervasioSYMBG25 streams/conf/aaaiss

Pedro Sequeira Vidyasagar Sadhu Melinda T. Gervasio ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies. 2025 February abs/2502.18438 CoRR https://doi.org/10.48550/arXiv.2502.18438 db/journals/corr/corr2502.html#abs-2502-18438 streams/journals/corr

Eric Yeh John Cadigan Ran Chen Dick Crouch Melinda T. Gervasio Dayne Freitag Interpolative Decoding: Exploring the Spectrum of Personality Traits in LLMs. 2025 December abs/2512.19937 CoRR https://doi.org/10.48550/arXiv.2512.19937 db/journals/corr/corr2512.html#abs-2512-19937 streams/journals/corr

Pedro Sequeira Melinda T. Gervasio IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of Interestingness. 373-396 2023 xAI (1) https://doi.org/10.1007/978-3-031-44064-9_20 conf/xai/2023-1 db/conf/xai/xai2023-1.html#SequeiraG23 Eric Yeh Pedro Sequeira Jesse Hostetler Melinda T. Gervasio Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space. 449-469 2023 xAI (3) https://doi.org/10.1007/978-3-031-44070-0_23 conf/xai/2023-3 db/conf/xai/xai2023-3.html#YehSHG23

Pedro Sequeira Melinda T. Gervasio IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness. 2023 abs/2307.08933 CoRR https://doi.org/10.48550/arXiv.2307.08933 db/journals/corr/corr2307.html#abs-2307-08933

Yunye Gong Yi Yao Xiao Lin Ajay Divakaran Melinda T. Gervasio Confidence Calibration for Systems with Cascaded Predictive Modules. 2023 abs/2309.12510 CoRR https://doi.org/10.48550/arXiv.2309.12510 db/journals/corr/corr2309.html#abs-2309-12510

Eric Yeh Pedro Sequeira Jesse Hostetler Melinda T. Gervasio Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space. 2022 abs/2207.07710 CoRR https://doi.org/10.48550/arXiv.2207.07710 db/journals/corr/corr2207.html#abs-2207-07710

Pedro Sequeira Daniel Elenius Jesse Hostetler Melinda T. Gervasio A Framework for Understanding and Visualizing Strategies of RL Agents. 2022 abs/2208.08552 CoRR https://doi.org/10.48550/arXiv.2208.08552 db/journals/corr/corr2208.html#abs-2208-08552

Pedro Sequeira Jesse Hostetler Melinda T. Gervasio Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning. 2022 abs/2211.06376 CoRR https://doi.org/10.48550/arXiv.2211.06376 db/journals/corr/corr2211.html#abs-2211-06376

Yunye Gong Xiao Lin Yi Yao Thomas G. Dietterich Ajay Divakaran Melinda T. Gervasio Confidence Calibration for Domain Generalization under Covariate Shift. 8938-8947 2021 ICCV https://doi.org/10.1109/ICCV48922.2021.00883 conf/iccv/2021 db/conf/iccv/iccv2021.html#GongLYDDG21

Yunye Gong Xiao Lin Yi Yao Thomas G. Dietterich Ajay Divakaran Melinda T. Gervasio Confidence Calibration for Domain Generalization under Covariate Shift. 2021 abs/2104.00742 CoRR https://arxiv.org/abs/2104.00742 db/journals/corr/corr2104.html#abs-2104-00742

Pedro Sequeira Melinda T. Gervasio Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations. 103367 2020 288 Artif. Intell. https://doi.org/10.1016/j.artint.2020.103367 https://www.wikidata.org/entity/Q102633914 db/journals/ai/ai288.html#SequeiraG20

Pedro Sequeira Eric Yeh Melinda T. Gervasio Interestingness Elements for Explainable Reinforcement Learning through Introspection. 2019 IUI Workshops https://ceur-ws.org/Vol-2327/IUI19WS-ExSS2019-1.pdf conf/iui/2019w db/conf/iui/iui2019w.html#SequeiraYG19

Pedro Sequeira Melinda T. Gervasio Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations. 2019 abs/1912.09007 CoRR http://arxiv.org/abs/1912.09007 db/journals/corr/corr1912.html#abs-1912-09007

Melinda T. Gervasio Karen L. Myers Eric Yeh Boone Adkins Explanation to Avert Surprise. 2018 IUI Workshops https://ceur-ws.org/Vol-2068/exss11.pdf conf/iui/2018w db/conf/iui/iui2018w.html#GervasioMYA18

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. 379-409 2017 52 Knowl. Inf. Syst. 2 https://doi.org/10.1007/s10115-016-1011-3 db/journals/kais/kais52.html#BerryDDGPY17

Karen L. Myers Melinda T. Gervasio Solution Authoring via Demonstration and Annotation: An Empirical Study. 212-216 2016 ICALT https://doi.org/10.1109/ICALT.2016.114 https://doi.ieeecomputersociety.org/10.1109/ICALT.2016.114 conf/icalt/2016 db/conf/icalt/icalt2016.html#MyersG16 Karen L. Myers Melinda T. Gervasio Christian Jones Kyle McIntyre Kellie Keifer Drill Evaluation for Training Procedural Skills. 561-570 2013 AIED https://doi.org/10.1007/978-3-642-39112-5_60 conf/aied/2013 db/conf/aied/aied2013.html#MyersGJMK13 Melinda T. Gervasio Thomas J. Lee Discovering action idioms bridging the gap between system-level events and human-level actions. 11-14 2013 VL/HCC https://doi.org/10.1109/VLHCC.2013.6645236 https://doi.ieeecomputersociety.org/10.1109/VLHCC.2013.6645236 conf/vl/2013 db/conf/vl/vlhcc2013.html#GervasioL13

Karen L. Myers Jake Kolojejchick Carl Angiolillo Tim Cummings Tom Garvey Matthew E. Gaston Melinda T. Gervasio Will Haines Chris Jones 0002 Kellie Keifer Janette Knittel David N. Morley William Ommert Scott Potter Learning by Demonstration for a Collaborative Planning Environment. 15-27 2012 33 AI Mag. 2 https://doi.org/10.1609/aimag.v33i2.2409 db/journals/aim/aim33.html#MyersKACGGGHJKKMOP12

Pauline M. Berry Melinda T. Gervasio Bart Peintner Neil Yorke-Smith PTIME: Personalized assistance for calendaring. 40:1-40:22 2011 2 ACM Trans. Intell. Syst. Technol. 4 https://doi.org/10.1145/1989734.1989744 https://www.wikidata.org/entity/Q56671791 db/journals/tist/tist2.html#BerryGPY11

Karen L. Myers Jake Kolojejchick Carl Angiolillo Tim Cummings Tom Garvey Melinda T. Gervasio Will Haines Chris Jones 0002 Janette Knittel David N. Morley William Ommert Scott Potter Learning by Demonstration Technology for Military Planning and Decision Making: A Deployment Story. 2011 IAAI https://doi.org/10.1609/aaai.v25i2.18846 conf/iaai/2011 db/conf/iaai/iaai2011.html#MyersKACGGHJKMOP11 1597-1604 Melinda T. Gervasio Eric Yeh Karen L. Myers Learning to ask the right questions to help a learner learn. 135-144 2011 IUI https://doi.org/10.1145/1943403.1943425 conf/iui/2011 db/conf/iui/iui2011.html#GervasioYM11 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. 331-334 2011 IUI https://doi.org/10.1145/1943403.1943458 conf/iui/2011 db/conf/iui/iui2011.html#GervasioHMLOSS11 Jihie Kim Karen L. Myers Melinda T. Gervasio Yolanda Gil Goal-Directed Metacontrol for Integrated Procedure Learning. 77-100 2011 Metareasoning https://doi.org/10.7551/mitpress/9780262014809.003.0006 books/mit/11/CR2011 db/books/collections/CR2011.html#KimMGG11 Steven Eker Thomas J. Lee Melinda T. Gervasio Iteration Learning by Demonstration. 40-47 2009 AAAI Spring Symposium: Agents that Learn from Human Teachers http://www.aaai.org/Library/Symposia/Spring/2009/ss09-01-007.php conf/aaaiss/2009-1 db/conf/aaaiss/aaaiss2009-1.html#EkerLG09 Melinda T. Gervasio Karen L. Myers Marie desJardins Fusun Yaman Question Asking to Inform Preference Learning: A Case Study. 56-62 2009 AAAI Spring Symposium: Agents that Learn from Human Teachers http://www.aaai.org/Library/Symposia/Spring/2009/ss09-01-009.php conf/aaaiss/2009-1 db/conf/aaaiss/aaaiss2009-1.html#GervasioMdY09 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. 2009 IAAI http://aaai.org/ocs/index.php/IAAI/IAAI09/paper/view/271 conf/iaai/2009 db/conf/iaai/iaai2009.html#BerryDDGPY09 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. 2009 IAAI http://aaai.org/ocs/index.php/IAAI/IAAI09/paper/view/270 conf/iaai/2009 db/conf/iaai/iaai2009.html#GarveyGLMAGKK09 Melinda T. Gervasio Janet L. Murdock What were you thinking?: filling in missing dataflow through inference in learning from demonstration. 157-166 2009 IUI https://doi.org/10.1145/1502650.1502675 conf/iui/2009 db/conf/iui/iui2009.html#GervasioM09 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. 389-394 2009 IUI https://doi.org/10.1145/1502650.1502706 conf/iui/2009 db/conf/iui/iui2009.html#SpauldingBHG09

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. 47-61 2007 28 AI Mag. 2 https://doi.org/10.1609/aimag.v28i2.2039 db/journals/aim/aim28.html#MyersBBCGMMPPT07

Pauline M. Berry Melinda T. Gervasio Bart Peintner Tomás E. Uribe Neil Yorke-Smith Multi-Criteria Evaluation in User-Centric Distributed Scheduling Agents. 151-152 2006 AAAI Spring Symposium: Distributed Plan and Schedule Management http://www.aaai.org/Library/Symposia/Spring/2006/ss06-04-021.php conf/aaaiss/2006-4 db/conf/aaaiss/aaaiss2006-4.html#BerryGPUY06 Pauline Berry Bart Peintner Ken Conley Melinda T. Gervasio Tomás E. Uribe Neil Yorke-Smith Deploying a personalized time management agent. 1564-1571 2006 conf/atal/2006 AAMAS https://doi.org/10.1145/1160633.1160934 db/conf/atal/aamas2006.html#BerryPCGUY06 Pauline M. Berry Melinda T. Gervasio Tomás E. Uribe Martha E. Pollack Michael D. Moffitt A Personalized Time Management Assistant: Research Directions. 1-6 2005 AAAI Spring Symposium: Persistent Assistants: Living and Working with AI http://www.aaai.org/Library/Symposia/Spring/2005/ss05-05-002.php conf/aaaiss/2005-5 db/conf/aaaiss/aaaiss2005-5.html#BerryGUPM05 Melinda T. Gervasio Michael D. Moffitt Martha E. Pollack Joseph M. Taylor Tomás E. Uribe Active preference learning for personalized calendar scheduling assistance. 90-97 2005 conf/iui/2005 IUI https://doi.org/10.1145/1040830.1040857 db/conf/iui/iui2005.html#GervasioMPTU05 Jungsoon P. Yoo Melinda T. Gervasio Pat Langley An adaptive stock tracker for personalized trading advice. 197-203 2003 conf/iui/2003 IUI https://doi.org/10.1145/604045.604076 db/conf/iui/iui2003.html#YooGL03 Jungsoon P. Yoo Melinda T. Gervasio Pat Langley Personalized trading recommendation system. 332 2003 conf/iui/2003 IUI https://doi.org/10.1145/604045.604125 db/conf/iui/iui2003.html#YooGL03a Melinda T. Gervasio Wayne Iba Pat Langley Learning User Evaluation Functions for Adaptive Scheduling Assistance. 152-161 1999 conf/icml/1999 ICML db/conf/icml/icml1999.html#GervasioIL99 Wayne Iba Melinda T. Gervasio Adapting to User Preferences in Crisis Response. 87-90 1999 conf/iui/1999 IUI https://doi.org/10.1145/291080.291095 db/conf/iui/iui1999.html#IbaG99 Melinda T. Gervasio Wayne Iba Pat Langley Learning to Predict User Operations for Adaptive Scheduling. 721-726 1998 conf/aaai/1998 AAAI/IAAI db/conf/aaai/aaai98.html#GervasioL98 http://www.aaai.org/Library/AAAI/1998/aaai98-102.php Melinda T. Gervasio Gerald DeJong An Incremental Learning Approach for Completable Planning. 78-86 1994 conf/icml/1994 ICML db/conf/icml/icml1994.html#GervasioD94 https://doi.org/10.1016/b978-1-55860-335-6.50018-0

Sang-Chan Park Melinda T. Gervasio Michael J. Shaw Gerald DeJong Explanation-based learning for intelligent process planning. 1597-1616 1993 23 IEEE Trans. Syst. Man Cybern. 6 https://doi.org/10.1109/21.257757 db/journals/tsmc/tsmc23.html#ParkGSD93

Steve A. Chien Melinda T. Gervasio Gerald DeJong On Becoming Decreasingly Reactive: Learning to Deliberate Minimally. 288-292 1991 conf/icml/1991 ML db/conf/icml/ml1991.html#ChienGD91 https://doi.org/10.1016/b978-1-55860-200-7.50060-x Melinda T. Gervasio Learning General Completable Reactive Plans. 1016-1021 1990 conf/aaai/1990 AAAI db/conf/aaai/aaai90.html#Gervasio90 http://www.aaai.org/Library/AAAI/1990/aaai90-152.php Melinda T. Gervasio Gerald DeJong Explanation-Based Learning of Reactive Operations. 252-254 1989 conf/icml/1989 ML db/conf/icml/ml1989.html#GervasioD89 Boone Adkins Carl Angiolillo Sarah Bakst Pauline M. BerryPauline Berry Jim Blythe John Cadigan Ran Chen Steve A. Chien Ken Conley Richard S. CrouchDick Crouch Tim Cummings Gerald DeJong Marie desJardins Thomas G. Dietterich Ajay Divakaran Thierry Donneau-Golencer Khang Duong Steven Eker Daniel Elenius Dayne Freitag Thomas D. Garvey Tom Garvey Matthew E. Gaston Helen Gent Yolanda Gil Yunye Gong Will Haines Jesse Hostetler Wayne Iba Chris Jones 0002 Christian Jones Kellie Keifer Jihie Kim Janette Knittel Jake Kolojejchick Pat Langley Thomas J. Lee Xiao Lin Nicholas Marion Deborah L. McGuinness Kyle McIntyre Michael D. Moffitt David N. Morley Janet L. Murdock Karen L. Myers William Ommert Adam OverholtzerC. Adam Overholtzer Sang-Chan Park Bart Peintner Avi Pfeffer Martha E. Pollack Scott Potter Shahin Saadati Vidyasagar Sadhu Pedro Sequeira Michael J. Shaw Aaron Spaulding Milind Tambe Joseph M. Taylor Tomás E. Uribe Fusun Yaman Yi Yao Eric Yeh Jungsoon P. Yoo Neil Yorke-Smith