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Oral
Thu Jun 13 08:00 AM -- 08:20 AM (KST) @ Room 104
Provably Efficient Imitation Learning from Observation Alone
In Reinforcement Learning Theory
Wen Sun · Anirudh Vemula · Byron Boots · Drew Bagnell
[ Video] 
Oral
Thu Jun 13 08:20 AM -- 08:25 AM (KST) @ Room 104
Dead-ends and Secure Exploration in Reinforcement Learning
In Reinforcement Learning Theory
Mehdi Fatemi · Shikhar Sharma · Harm van Seijen · Samira Ebrahimi Kahou
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:25 AM -- 08:30 AM (KST) @ Room 104
Statistics and Samples in Distributional Reinforcement Learning
In Reinforcement Learning Theory
Mark Rowland · Robert Dadashi · Saurabh Kumar · Remi Munos · Marc Bellemare · Will Dabney
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:30 AM -- 08:35 AM (KST) @ Room 104
Hessian Aided Policy Gradient
In Reinforcement Learning Theory
Zebang Shen · Alejandro Ribeiro · Hamed Hassani · Hui Qian · Chao Mi
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:35 AM -- 08:40 AM (KST) @ Room 104
Provably Efficient Maximum Entropy Exploration
In Reinforcement Learning Theory
Elad Hazan · Sham Kakade · Karan Singh · Abby Van Soest
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:40 AM -- 09:00 AM (KST) @ Room 104
Combining parametric and nonparametric models for off-policy evaluation
In Reinforcement Learning Theory
Omer Gottesman · Yao Liu · Scott Sussex · Emma Brunskill · Finale Doshi-Velez
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:00 AM -- 09:05 AM (KST) @ Room 104
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
In Reinforcement Learning Theory
Lin Yang · Mengdi Wang
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:05 AM -- 09:10 AM (KST) @ Room 104
Transfer of Samples in Policy Search via Multiple Importance Sampling
In Reinforcement Learning Theory
Andrea Tirinzoni · Mattia Salvini · Marcello Restelli
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:10 AM -- 09:15 AM (KST) @ Room 104
Exploration Conscious Reinforcement Learning Revisited
In Reinforcement Learning Theory
Lior Shani · Yonathan Efroni · Shie Mannor
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:15 AM -- 09:20 AM (KST) @ Room 104
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes
In Reinforcement Learning Theory
Shiau Hong Lim · Arnaud Autef
[ Slides]  [ Video]