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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
In Reinforcement Learning 1
Yingjie Fei · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
In Reinforcement Learning 1
Zhang Zihan · Yuan Zhou · Xiangyang Ji
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
In Reinforcement Learning 1
Marin Vlastelica · Michal Rolinek · Georg Martius
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
PID Accelerated Value Iteration Algorithm
In Reinforcement Learning 1
Amir-massoud Farahmand · Mohammad Ghavamzadeh
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Provably Efficient Learning of Transferable Rewards
In Reinforcement Learning 1
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
In Reinforcement Learning 1
Wesley A Suttle · Kaiqing Zhang · Zhuoran Yang · Ji Liu · David N Kraemer
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Value Alignment Verification
In Reinforcement Learning 1
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum
[ Paper ]
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Reinforcement Learning 1