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Meta-Learning Transferable Parameterized Skills


Jun 07, 2022
Haotian Fu, Shangqun Yu, Saket Tiwari, George Konidaris, Michael Littman

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Does DQN really learn? Exploring adversarial training schemes in Pong


Mar 20, 2022
Bowen He, Sreehari Rammohan, Jessica Forde, Michael Littman

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* RLDM 2022 

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Learning Generalizable Behavior via Visual Rewrite Rules


Dec 09, 2021
Yiheng Xie, Mingxuan Li, Shangqun Yu, Michael Littman

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* AAAI 2022 Workshop on Reinforcement Learning in Games 

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Reinforcement Learning for General LTL Objectives Is Intractable


Nov 24, 2021
Cambridge Yang, Michael Littman, Michael Carbin

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Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator


Nov 21, 2021
Homer Walke, Daniel Ritter, Carl Trimbach, Michael Littman

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* 10 pages, 5 figures 

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Coarse-Grained Smoothness for RL in Metric Spaces


Oct 23, 2021
Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman

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Model Selection's Disparate Impact in Real-World Deep Learning Applications


Apr 01, 2021
Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael Littman

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* Accepted to the Science and Engineering of Deep Learning Workshop, ICLR 2021 

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Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains


Oct 17, 2020
Nishanth Kumar, Michael Fishman, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris

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Teaching with IMPACT


Mar 14, 2019
Carl Trimbach, Michael Littman

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