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Proper Value Equivalence


Jun 18, 2021
Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh


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Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications


Dec 23, 2020
Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb-Umbach


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The Value Equivalence Principle for Model-Based Reinforcement Learning


Nov 06, 2020
Christopher Grimm, André Barreto, Satinder Singh, David Silver

* NeurIPS-2020 

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Disentangled Cumulants Help Successor Representations Transfer to New Tasks


Nov 25, 2019
Christopher Grimm, Irina Higgins, Andre Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh


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Learning Independently-Obtainable Reward Functions


Jan 31, 2019
Christopher Grimm, Satinder Singh


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Mitigating Planner Overfitting in Model-Based Reinforcement Learning


Dec 03, 2018
Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman


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Deep Abstract Q-Networks


Aug 25, 2018
Melrose Roderick, Christopher Grimm, Stefanie Tellex


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Modeling Latent Attention Within Neural Networks


Dec 30, 2017
Christopher Grimm, Dilip Arumugam, Siddharth Karamcheti, David Abel, Lawson L. S. Wong, Michael L. Littman


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Learning Approximate Stochastic Transition Models


Oct 26, 2017
Yuhang Song, Christopher Grimm, Xianming Wang, Michael L. Littman


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Summable Reparameterizations of Wasserstein Critics in the One-Dimensional Setting


Sep 19, 2017
Christopher Grimm, Yuhang Song, Michael L. Littman


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