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Oral
Mon Jul 06 09:30 PM -- 09:45 PM (PDT) @ GRAND BALLROOM 101-105 None
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
In Oral 2E Reinforcement Learning: Theory
Stefan Huber ⋅ Hannes Unger ⋅ Georg Schäfer ⋅ Jakob Rehrl
[ OpenReview] 
Oral
Mon Jul 06 09:45 PM -- 10:00 PM (PDT) @ GRAND BALLROOM 101-105 None
Maximum Likelihood Reinforcement Learning
In Oral 2E Reinforcement Learning: Theory
Fahim Tajwar ⋅ Guanning Zeng ⋅ Yueer Zhou ⋅ Yuda Song ⋅ Daman Arora ⋅ Yiding Jiang ⋅ Jeff Schneider ⋅ Russ Salakhutdinov ⋅ Haiwen Feng ⋅ Andrea Zanette
[ OpenReview] 
Oral
Mon Jul 06 10:00 PM -- 10:15 PM (PDT) @ GRAND BALLROOM 101-105 None
Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
In Oral 2E Reinforcement Learning: Theory
Harin Lee ⋅ Kevin Jamieson
[ OpenReview] 
Oral
Mon Jul 06 10:15 PM -- 10:30 PM (PDT) @ GRAND BALLROOM 101-105 None
Optimal Decision-Making Based on Prediction Sets
In Oral 2E Reinforcement Learning: Theory
Tao Wang ⋅ Edgar Dobriban
[ OpenReview]