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