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Poster
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Tue 9:00
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Regret Bounds for Information-Directed Reinforcement Learning
Botao Hao · Tor Lattimore
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Workshop
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Directed Information for Point Process Systems
Shailaja Akella · Andre Bastos · Jose C Principe
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Poster
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Thu 9:00
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Iterative Structural Inference of Directed Graphs
Aoran Wang · Jun Pang
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Poster
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Wed 14:00
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An Analysis of Ensemble Sampling
Chao Qin · Zheng Wen · Xiuyuan Lu · Benjamin Van Roy
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Poster
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Tue 9:00
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Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
Dilip Arumugam · Benjamin Van Roy
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Affinity Workshop
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Mon 8:15
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Oral Presentation 6: Direct Sampling for extreme weather generation
Jorge Luis Guevara Diaz
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Poster
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Tue 9:00
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Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games
Ziang Song · Song Mei · Yu Bai
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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world
Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan
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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world
Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan
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Workshop
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Sample Relationships through the Lens of Learning Dynamics with Label Information
Shangmin Guo · Yi Ren · Stefano Albrecht · Kenny Smith
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Poster
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Thu 14:00
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Efficient learning of nonlinear prediction models with time-series privileged information
Bastian Jung · Fredrik Johansson
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Poster
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Thu 9:00
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Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
Gergely Neu · Iuliia Olkhovskaia · Matteo Papini · Ludovic Schwartz
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