Nate Derbinsky

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 12

Top Topics

Computer Science

Reinforcement Learning

Domain Knowledge

Top Venues

GECCO Companion

Publications

Geoffrey Challen, Victoria Dean, Nate Derbinsky, Matt X. Wang, Jacqueline Smith
Interviewing the Teaching Faculty Hiring Process. SIGCSE (2) (2024)
Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. GECCO Companion (2022)
Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. GECCO Companion (2021)
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
Model AI Assignments 2019. AAAI (2019)
Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth
Model AI Assignments 2018. AAAI (2018)
Nate Derbinsky, Durga Suresh
Sustainable Methods for Impactful Service Learning in Computer Science (Abstract Only). SIGCSE (2017)
Ying Zhao, Emily Mooren, Nate Derbinsky
Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning. KEOD (2017)
Nate Derbinsky, Tyler M. Frasca
Cornhole: A Widely-Accessible AI Robotics Task. AAAI (2017)
Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento
Testing fine-grained parallelism for the ADMM on a factor-graph. CoRR (2016)
Tyler M. Frasca, Antonio G. Sestito, Craig Versek, Douglas E. Dow, Barry C. Husowitz, Nate Derbinsky
A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals. AAAI (2016)
Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento
Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. IPDPS Workshops (2016)
Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh
Model AI Assignments 2016. AAAI (2016)
Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan S. Yedidia
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. AAAI (2015)
José Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia
Proximal Operators for Multi-Agent Path Planning. AAAI (2015)
Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan S. Yedidia
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. CoRR (2015)
José Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia
Proximal operators for multi-agent path planning. CoRR (2015)
Nate Derbinsky, José Bento, Veit Elser, Jonathan S. Yedidia
An Improved Three-Weight Message-Passing Algorithm CoRR (2013)
Nate Derbinsky, José Bento, Jonathan S. Yedidia
Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing. CoRR (2013)
Nate Derbinsky, José Bento, Jonathan S. Yedidia
Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing. AAAI Fall Symposia (2013)
Nate Derbinsky, John E. Laird
Effective and efficient forgetting of learned knowledge in Soar's working and procedural memories. Cogn. Syst. Res. 24 (2013)
José Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia
A message-passing algorithm for multi-agent trajectory planning. NIPS (2013)
José Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia
A message-passing algorithm for multi-agent trajectory planning. CoRR (2013)
Nate Derbinsky, Justin Li, John E. Laird
Algorithms for scaling in a general episodic memory. AAMAS (2012)
Nate Derbinsky, Georg Essl
Exploring Reinforcement Learning for Mobile Percussive Collaboration. NIME (2012)
Nate Derbinsky, Justin Li, John E. Laird
A Multi-Domain Evaluation of Scaling in a General Episodic Memory. AAAI (2012)
Justin Li, Nate Derbinsky, John E. Laird
Functional Interactions Between Memory and Recognition Judgments. AAAI (2012)
Nate Derbinsky
Long-Term Declarative Memory for Generally Intelligent Agents. AAAI (2011)
Nate Derbinsky, John E. Laird
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task. AAAI (2011)
John Edwin Laird, Nate Derbinsky, Miller Tinkerhess
A Case Study in Integrating Probabilistic Decision Making and Learning in a Symbolic Cognitive Architecture: Soar Plays Dice. AAAI Fall Symposium: Advances in Cognitive Systems (2011)
Nate Derbinsky, John E. Laird
Effective and Efficient Management of Soar's Working Memory via Base-Level Activation. AAAI Fall Symposium: Advances in Cognitive Systems (2011)
Nate Derbinsky, Georg Essl
Cognitive Architecture in Mobile Music Interactions. NIME (2011)
Nate Derbinsky, John E. Laird
Efficiently Implementing Episodic Memory. ICCBR (2009)