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Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing


May 07, 2023
Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramon Astudillo, Achille Fokoue, Tim Klinger

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* Accepted to ACL main conference 

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Learning in Factored Domains with Information-Constrained Visual Representations


Mar 30, 2023
Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims

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AI Planning Annotation for Sample Efficient Reinforcement Learning


Mar 01, 2022
Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro

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* 14 pages, 5 figures 

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Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games


Nov 23, 2020
Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims

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Deep RL With Information Constrained Policies: Generalization in Continuous Control


Oct 09, 2020
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro

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A Study of Compositional Generalization in Neural Models


Jul 08, 2020
Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew Riemer, Alex 'Sandy' Pentland, Murray Campbell

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* 28 pages 

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Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic


Apr 28, 2020
Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

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* Code available at https://github.com/camall3n/skills-for-planning 

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Routing Networks and the Challenges of Modular and Compositional Computation


Apr 29, 2019
Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger

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Logical Rule Induction and Theory Learning Using Neural Theorem Proving


Sep 12, 2018
Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel

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