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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 10:00 PM -- 10:20 PM (KST)
Temporal Difference Learning as Gradient Splitting
In Learning Theory 14
Rui Liu · Alex Olshevsky
[ Paper ]
Spotlight
Thu Jul 22 10:20 PM -- 10:25 PM (KST)
First-Order Methods for Wasserstein Distributionally Robust MDP
In Learning Theory 14
Julien Grand-Clement · Christian Kroer
[ Paper ]
Spotlight
Thu Jul 22 10:25 PM -- 10:30 PM (KST)
Off-Policy Confidence Sequences
In Learning Theory 14
Nikos Karampatziakis · Paul Mineiro · Aaditya Ramdas
[ Paper ]
Spotlight
Thu Jul 22 10:30 PM -- 10:35 PM (KST)
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
In Learning Theory 14
Aymen Al Marjani · Alexandre Proutiere
[ Paper ]
Spotlight
Thu Jul 22 10:35 PM -- 10:40 PM (KST)
Quantum algorithms for reinforcement learning with a generative model
In Learning Theory 14
Daochen Wang · Aarthi Sundaram · Robin Kothari · Ashish Kapoor · Martin Roetteler
[ Paper ]
Spotlight
Thu Jul 22 10:40 PM -- 10:45 PM (KST)
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods
In Learning Theory 14
Chris Nota · Philip Thomas · Bruno C. da Silva
[ Paper ]
Spotlight
Thu Jul 22 10:45 PM -- 10:50 PM (KST)
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
In Learning Theory 14
Mauro Maggioni · Jason Miller · Hongda Qiu · Ming Zhong
[ Paper ]
Q&A
Thu Jul 22 10:50 PM -- 10:55 PM (KST)
Q&A
In Learning Theory 14