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Oral
Wed Jun 12 04:00 PM -- 04:20 PM (PDT) @ Room 104
Provably Efficient Imitation Learning from Observation Alone
Wen Sun · Anirudh Vemula · Byron Boots · Drew Bagnell
Oral
Wed Jun 12 04:20 PM -- 04:25 PM (PDT) @ Room 104
Dead-ends and Secure Exploration in Reinforcement Learning
Mehdi Fatemi · Shikhar Sharma · Harm van Seijen · Samira Ebrahimi Kahou
Oral
Wed Jun 12 04:25 PM -- 04:30 PM (PDT) @ Room 104
Statistics and Samples in Distributional Reinforcement Learning
Mark Rowland · Robert Dadashi · Saurabh Kumar · Remi Munos · Marc Bellemare · Will Dabney
Oral
Wed Jun 12 04:30 PM -- 04:35 PM (PDT) @ Room 104
Hessian Aided Policy Gradient
Zebang Shen · Alejandro Ribeiro · Hamed Hassani · Hui Qian · Chao Mi
Oral
Wed Jun 12 04:35 PM -- 04:40 PM (PDT) @ Room 104
Provably Efficient Maximum Entropy Exploration
Elad Hazan · Sham Kakade · Karan Singh · Abby Van Soest
Oral
Wed Jun 12 04:40 PM -- 05:00 PM (PDT) @ Room 104
Combining parametric and nonparametric models for off-policy evaluation
Omer Gottesman · Yao Liu · Scott Sussex · Emma Brunskill · Finale Doshi-Velez
Oral
Wed Jun 12 05:00 PM -- 05:05 PM (PDT) @ Room 104
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Lin Yang · Mengdi Wang
Oral
Wed Jun 12 05:05 PM -- 05:10 PM (PDT) @ Room 104
Transfer of Samples in Policy Search via Multiple Importance Sampling
Andrea Tirinzoni · Mattia Salvini · Marcello Restelli
Oral
Wed Jun 12 05:10 PM -- 05:15 PM (PDT) @ Room 104
Exploration Conscious Reinforcement Learning Revisited
Lior Shani · Yonathan Efroni · Shie Mannor
Oral
Wed Jun 12 05:15 PM -- 05:20 PM (PDT) @ Room 104
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes
Shiau Hong Lim · Arnaud Autef