Nate Derbinsky
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SIGCSE | Addressing Challenges in Teaching-Track Faculty Promotion. | Christine Alvarado, Nate Derbinsky, Sarah Heckman, Manuel A. Prez-Quiones, Harini Ramaprasad, Mark Sherriff |
| 2024 | SIGCSE | Interviewing the Teaching Faculty Hiring Process. | Geoffrey Challen, Victoria Dean, Nate Derbinsky, Matt X. Wang, Jacqueline Smith |
| 2022 | GECCO | Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. | Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly |
| 2021 | GECCO | Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. | Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly |
| 2019 | AAAI | Model AI Assignments 2019. | Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul G. Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist |
| 2018 | AAAI | Model AI Assignments 2018. | Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth |
| 2017 | AAAI | Cornhole: A Widely-Accessible AI Robotics Task. | Nate Derbinsky, Tyler M. Frasca |
| 2017 | IC3K | Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning. | Ying Zhao, Emily Mooren, Nate Derbinsky |
| 2017 | SIGCSE | Sustainable Methods for Impactful Service Learning in Computer Science (Abstract Only). | Nate Derbinsky, Durga Suresh |
| 2016 | AAAI | A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals. | Tyler M. Frasca, Antonio G. Sestito, Craig Versek, Douglas E. Dow, Barry C. Husowitz, Nate Derbinsky |
| 2016 | AAAI | Model AI Assignments 2016. | Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh |
| 2015 | AAAI | Proximal Operators for Multi-Agent Path Planning. | Jos Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia |
| 2015 | AAAI | The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. | Charles Mathy, Nate Derbinsky, Jos Bento, Jonathan Rosenthal, Jonathan S. Yedidia |
| 2012 | AAAI | A Multi-Domain Evaluation of Scaling in a General Episodic Memory. | Nate Derbinsky, Justin Li, John E. Laird |
| 2012 | AAAI | Functional Interactions Between Memory and Recognition Judgments. | Justin Li, Nate Derbinsky, John E. Laird |
| 2012 | AAMAS | Algorithms for scaling in a general episodic memory. | Nate Derbinsky, Justin Li, John E. Laird |
| 2011 | AAAI | Long-Term Declarative Memory for Generally Intelligent Agents. | Nate Derbinsky |
| 2011 | AAAI | A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task. | Nate Derbinsky, John E. Laird |
| 2009 | ICCBR | Efficiently Implementing Episodic Memory. | Nate Derbinsky, John E. Laird |