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Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria


Oct 28, 2022
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How

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Influencing Long-Term Behavior in Multiagent Reinforcement Learning


Mar 07, 2022
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How

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* Under review as a workshop paper 

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Continual Learning In Environments With Polynomial Mixing Times


Dec 13, 2021
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish

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* 2 Figures, 20 pages 

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Context-Specific Representation Abstraction for Deep Option Learning


Sep 20, 2021
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How

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Towards Continual Reinforcement Learning: A Review and Perspectives


Dec 25, 2020
Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup

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* Preprint, 52 pages, 8 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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A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning


Oct 31, 2020
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How

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* Under review as a conference paper 

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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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