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On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function

Feb 04, 2021
Gellert Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvári

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A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting

Nov 04, 2020
Philip Amortila, Nan Jiang, Tengyang Xie

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Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions

Oct 03, 2020
Gellert Weisz, Philip Amortila, Csaba Szepesvári

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Constrained Markov Decision Processes via Backward Value Functions

Aug 26, 2020
Harsh Satija, Philip Amortila, Joelle Pineau

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A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms

Mar 27, 2020
Philip Amortila, Doina Precup, Prakash Panangaden, Marc G. Bellemare

* AISTATS 2020 

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Learning Graph Weighted Models on Pictures

Jun 21, 2018
Philip Amortila, Guillaume Rabusseau

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