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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 09:00 PM -- 09:20 PM (KST)
Deeply-Debiased Off-Policy Interval Estimation
In Deep Reinforcement Learning 2
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
[ Paper ]
Spotlight
Tue Jul 20 09:20 PM -- 09:25 PM (KST)
Offline Contextual Bandits with Overparameterized Models
In Deep Reinforcement Learning 2
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
[ Paper ]
Spotlight
Tue Jul 20 09:25 PM -- 09:30 PM (KST)
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
In Deep Reinforcement Learning 2
Christopher Dance · Perez Julien · Théo Cachet
[ Paper ]
Spotlight
Tue Jul 20 09:30 PM -- 09:35 PM (KST)
A New Representation of Successor Features for Transfer across Dissimilar Environments
In Deep Reinforcement Learning 2
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
[ Paper ]
Spotlight
Tue Jul 20 09:35 PM -- 09:40 PM (KST)
Preferential Temporal Difference Learning
In Deep Reinforcement Learning 2
Nishanth Anand · Doina Precup
[ Paper ]
Spotlight
Tue Jul 20 09:40 PM -- 09:45 PM (KST)
On the Optimality of Batch Policy Optimization Algorithms
In Deep Reinforcement Learning 2
Chenjun Xiao · Yifan Wu · Jincheng Mei · Bo Dai · Tor Lattimore · Lihong Li · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Q&A
Tue Jul 20 09:45 PM -- 09:50 PM (KST)
Q&A
In Deep Reinforcement Learning 2