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9 Program Highlights »
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Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #185
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik · Reazul Hasan Russel
Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #186
Correlation Priors for Reinforcement Learning
Bastian Alt · Adrian Šošić · Heinz Koeppl
Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #187
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Mikael Henaff
Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #188
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Daniel Freeman · David Ha · Luke Metz
Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #189
Mapping State Space using Landmarks for Universal Goal Reaching
Zhiao Huang · Fangchen Liu · Hao Su
Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #190
Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu Boney · Norman Di Palo · Mathias Berglund · Alexander Ilin · Juho Kannala · Antti Rasmus · Harri Valpola
Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #191
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
Yonathan Efroni · Nadav Merlis · Mohammad Ghavamzadeh · Shie Mannor
Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #192
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner · Justin Fu · Marvin Zhang · Sergey Levine
Poster
Tue Dec 10th 05:30 -- 07:30 PM @ East Exhibition Hall B + C #193
When to use parametric models in reinforcement learning?
Hado van Hasselt · Matteo Hessel · John Aslanides