Satinder Singh

University of Michigan

13 papers in the IJCAI proceedings

IJCAI 2022

On the Expressivity of Markov Reward (Extended Abstract)

with David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup

doi:10.24963/ijcai.2022/730

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IJCAI 2021

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment

with Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard Lewis

doi:10.24963/ijcai.2021/306

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IJCAI 2018

Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes

with Shun Zhang, Edmund H. Durfee

doi:10.24963/ijcai.2018/676

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IJCAI 2016

Commitment Semantics for Sequential Decision Making under Reward Uncertainty

with Qi Zhang, Edmund H. Durfee, Anna Chen, Stefan J. Witwicki

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Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games

with Xiaoxiao Guo, Richard L. Lewis, Honglak Lee

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On Structural Properties of MDPs that Bound Loss Due to Shallow Planning

with Nan Jiang, Ambuj Tewari

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The Dependence of Effective Planning Horizon on Model Accuracy

with Nan Jiang, Alex Kulesza, Richard L. Lewis

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IJCAI 2009

Learning Graphical Game Models

with Quang Duong, Yevgeniy Vorobeychik, Michael P. Wellman

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Maintaining Predictions over Time without a Model

with Erik Talvitie

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IJCAI 2007

An Experts Algorithm for Transfer Learning

with Erik Talvitie

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Relational Knowledge with Predictive State Representations

with David Wingate, Vishal Soni, Britton Wolfe

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IJCAI 2005

Combining Memory and Landmarks with Predictive State Representations

with Michael R. James, Britton Wolfe

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Learning Payoff Functions in Infinite Games

with Yevgeniy Vorobeychik, Michael P. Wellman

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