Nate Derbinsky

According to our database, Nate Derbinsky authored at least 28 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Interviewing the Teaching Faculty Hiring Process.

Geoffrey Challen, Victoria Dean, Nate Derbinsky, Matt X. Wang, Jacqueline Smith

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2022

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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2019

Model AI Assignments 2019.

Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul 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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Model AI Assignments 2018.

Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Sustainable Methods for Impactful Service Learning in Computer Science (Abstract Only).

Nate Derbinsky, Durga Suresh

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning.

Ying Zhao, Emily Mooren, Nate Derbinsky

Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Cornhole: A Widely-Accessible AI Robotics Task.

Nate Derbinsky, Tyler M. Frasca

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph.

Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

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

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning.

Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan S. Yedidia

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Proximal Operators for Multi-Agent Path Planning.

José Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

An Improved Three-Weight Message-Passing Algorithm

Nate Derbinsky, José Bento, Veit Elser, Jonathan S. Yedidia

CoRR, 2013

Effective and efficient forgetting of learned knowledge in Soar's working and procedural memories.

Nate Derbinsky, John E. Laird

Cogn. Syst. Res., 2013

A message-passing algorithm for multi-agent trajectory planning.

José Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing.

Nate Derbinsky, José Bento, Jonathan S. Yedidia

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012

Effective and Efficient Memory for Generally Intelligent Agents.

Nate Derbinsky

PhD thesis, 2012

Exploring Reinforcement Learning for Mobile Percussive Collaboration.

Nate Derbinsky, Georg Essl

Proceedings of the 12th International Conference on New Interfaces for Musical Expression, 2012

Algorithms for scaling in a general episodic memory.

Nate Derbinsky, Justin Li, John E. Laird

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Functional Interactions Between Memory and Recognition Judgments.

Justin Li, Nate Derbinsky, John E. Laird

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

A Multi-Domain Evaluation of Scaling in a General Episodic Memory.

Nate Derbinsky, Justin Li, John E. Laird

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Cognitive Architecture in Mobile Music Interactions.

Nate Derbinsky, Georg Essl

Proceedings of the 11th International Conference on New Interfaces for Musical Expression, 2011

A Case Study in Integrating Probabilistic Decision Making and Learning in a Symbolic Cognitive Architecture: Soar Plays Dice.

John Edwin Laird, Nate Derbinsky, Miller Tinkerhess

Proceedings of the Advances in Cognitive Systems, 2011

Effective and Efficient Management of Soar's Working Memory via Base-Level Activation.

Nate Derbinsky, John E. Laird

Proceedings of the Advances in Cognitive Systems, 2011

A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task.

Nate Derbinsky, John E. Laird

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Long-Term Declarative Memory for Generally Intelligent Agents.

Nate Derbinsky

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2009

Efficiently Implementing Episodic Memory.

Nate Derbinsky, John E. Laird

Proceedings of the Case-Based Reasoning Research and Development, 2009