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Oral
Tue Jun 11 04:00 PM -- 04:20 PM (PDT) @ Room 104
Separable value functions across time-scales
Joshua Romoff · Peter Henderson · Ahmed Touati · Yann Ollivier · Joelle Pineau · Emma Brunskill
Oral
Tue Jun 11 04:20 PM -- 04:25 PM (PDT) @ Room 104
Learning Action Representations for Reinforcement Learning
Yash Chandak · Georgios Theocharous · James Kostas · Scott M Jordan · Philip Thomas
[ Slides [ Video
Oral
Tue Jun 11 04:25 PM -- 04:30 PM (PDT) @ Room 104
Bayesian Counterfactual Risk Minimization
Ben London · Ted Sandler
[ Slides [ Video
Oral
Tue Jun 11 04:30 PM -- 04:35 PM (PDT) @ Room 104
Per-Decision Option Discounting
Anna Harutyunyan · Peter Vrancx · Philippe Hamel · Ann Nowe · Doina Precup
[ Slides [ Video
Oral
Tue Jun 11 04:35 PM -- 04:40 PM (PDT) @ Room 104
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds
Andrea Zanette · Emma Brunskill
[ Slides [ Video
Oral
Tue Jun 11 04:40 PM -- 05:00 PM (PDT) @ Room 104
A Theory of Regularized Markov Decision Processes
Matthieu Geist · Bruno Scherrer · Olivier Pietquin
[ Slides [ Video
Oral
Tue Jun 11 05:00 PM -- 05:05 PM (PDT) @ Room 104
Discovering Options for Exploration by Minimizing Cover Time
Yuu Jinnai · Jee Won Park · David Abel · George Konidaris
[ Slides [ Video
Oral
Tue Jun 11 05:05 PM -- 05:10 PM (PDT) @ Room 104
Policy Certificates: Towards Accountable Reinforcement Learning
Christoph Dann · Lihong Li · Wei Wei · Emma Brunskill
[ Slides [ Video
Oral
Tue Jun 11 05:10 PM -- 05:15 PM (PDT) @ Room 104
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler · Chen Tessler · Yonathan Efroni · Yonathan Efroni · Shie Mannor · Shie Mannor
[ Slides [ Video
Oral
Tue Jun 11 05:15 PM -- 05:20 PM (PDT) @ Room 104
The Value Function Polytope in Reinforcement Learning
Robert Dadashi · Marc Bellemare · Adrien Ali Taiga · Nicolas Le Roux · Dale Schuurmans
[ Slides [ Video