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Oral
Wed Jun 12 06:00 AM -- 06:20 AM (KST) @ Room 104
Safe Policy Improvement with Baseline Bootstrapping
In Reinforcement Learning Theory
Romain Laroche · Paul TRICHELAIR · Remi Tachet des Combes
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:20 AM -- 06:25 AM (KST) @ Room 104
Distributional Reinforcement Learning for Efficient Exploration
In Reinforcement Learning Theory
Borislav Mavrin · Hengshuai Yao · Linglong Kong · Kaiwen Wu · Yaoliang Yu
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:25 AM -- 06:30 AM (KST) @ Room 104
Optimistic Policy Optimization via Multiple Importance Sampling
In Reinforcement Learning Theory
Matteo Papini · Alberto Maria Metelli · Lorenzo Lupo · Marcello Restelli
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:30 AM -- 06:35 AM (KST) @ Room 104
Neural Logic Reinforcement Learning
In Reinforcement Learning Theory
zhengyao jiang · Shan Luo
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:35 AM -- 06:40 AM (KST) @ Room 104
Learning to Collaborate in Markov Decision Processes
In Reinforcement Learning Theory
Goran Radanovic · Rati Devidze · David Parkes · Adish Singla
[ Slides]  [ Video] 
Oral
Wed Jun 12 06:40 AM -- 07:00 AM (KST) @ Room 104
Predictor-Corrector Policy Optimization
In Reinforcement Learning Theory
Ching-An Cheng · Xinyan Yan · Nathan Ratliff · Byron Boots
[ Slides]  [ Video] 
Oral
Wed Jun 12 07:00 AM -- 07:05 AM (KST) @ Room 104
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
In Reinforcement Learning Theory
Kelvin Xu · Ellis Ratner · Anca Dragan · Sergey Levine · Chelsea Finn
[ Slides]  [ Video] 
Oral
Wed Jun 12 07:05 AM -- 07:10 AM (KST) @ Room 104
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
In Reinforcement Learning Theory
Carles Gelada · Saurabh Kumar · Jacob Buckman · Ofir Nachum · Marc Bellemare
[ Slides]  [ Video] 
Oral
Wed Jun 12 07:10 AM -- 07:15 AM (KST) @ Room 104
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
In Reinforcement Learning Theory
Josiah Hanna · Scott Niekum · Peter Stone
[ Slides]  [ Video] 
Oral
Wed Jun 12 07:15 AM -- 07:20 AM (KST) @ Room 104
Learning from a Learner
In Reinforcement Learning Theory
alexis jacq · Matthieu Geist · Ana Paiva · Olivier Pietquin
[ Slides]  [ Video]