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74 Results
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Poster
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Mon 9:00 |
Catching heuristics are optimal control policies Boris Belousov · Gerhard Neumann · Constantin Rothkopf · Jan Peters |
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Oral
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Thu 2:10 |
Showing versus doing: Teaching by demonstration Mark Ho · Michael Littman · James MacGlashan · Fiery Cushman · Joseph L Austerweil |
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Poster
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Mon 9:00 |
Safe and Efficient Off-Policy Reinforcement Learning Remi Munos · Tom Stepleton · Anna Harutyunyan · Marc Bellemare |
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Poster
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Mon 9:00 |
Deep Exploration via Bootstrapped DQN Ian Osband · Charles Blundell · Alexander Pritzel · Benjamin Van Roy |
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Poster
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Mon 9:00 |
Algorithms and matching lower bounds for approximately-convex optimization Andrej Risteski · Yuanzhi Li |
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Poster
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Wed 9:00 |
Showing versus doing: Teaching by demonstration Mark Ho · Michael Littman · James MacGlashan · Fiery Cushman · Joe Austerweil · Joseph L Austerweil |
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Poster
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Wed 9:00 |
Professor Forcing: A New Algorithm for Training Recurrent Networks Alex M Lamb · Anirudh Goyal · Ying Zhang · Saizheng Zhang · Aaron Courville · Yoshua Bengio |
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Poster
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Wed 9:00 |
Relevant sparse codes with variational information bottleneck Matthew Chalk · Olivier Marre · Gasper Tkacik |
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Oral
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Thu 2:30 |
Relevant sparse codes with variational information bottleneck Matthew Chalk · Olivier Marre · Gasper Tkacik |
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Poster
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Mon 9:00 |
Geometric Dirichlet Means Algorithm for topic inference Mikhail Yurochkin · XuanLong Nguyen |
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Poster
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Mon 9:00 |
Threshold Learning for Optimal Decision Making Nathan F Lepora |
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Poster
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Tue 9:00 |
Human Decision-Making under Limited Time Pedro Ortega · Alan A Stocker |