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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Temporal Difference Learning as Gradient Splitting
In Learning Theory 14
Rui Liu · Alex Olshevsky
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
First-Order Methods for Wasserstein Distributionally Robust MDP
In Learning Theory 14
Julien Grand-Clement · Christian Kroer
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
Off-Policy Confidence Sequences
In Learning Theory 14
Nikos Karampatziakis · Paul Mineiro · Aaditya Ramdas
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
In Learning Theory 14
Aymen Al Marjani · Alexandre Proutiere
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
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 06:40 AM -- 06:45 AM (PDT)
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 06:45 AM -- 06:50 AM (PDT)
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 06:50 AM -- 06:55 AM (PDT)
Q&A
In Learning Theory 14