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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 11:00 AM -- 11:20 AM (KST)
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
In Reinforcement Learning Theory 5
Nevena Lazic · Dong Yin · Yasin Abbasi-Yadkori · Csaba Szepesvari
[ Paper ]
Spotlight
Thu Jul 22 11:20 AM -- 11:25 AM (KST)
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
In Reinforcement Learning Theory 5
Weichao Mao · Kaiqing Zhang · Ruihao Zhu · David Simchi-Levi · Tamer Basar
[ Paper ]
Spotlight
Thu Jul 22 11:25 AM -- 11:30 AM (KST)
Optimal Off-Policy Evaluation from Multiple Logging Policies
In Reinforcement Learning Theory 5
Nathan Kallus · Yuta Saito · Masatoshi Uehara
[ Paper ]
Spotlight
Thu Jul 22 11:30 AM -- 11:35 AM (KST)
Provably Correct Optimization and Exploration with Non-linear Policies
In Reinforcement Learning Theory 5
Fei Feng · Wotao Yin · Alekh Agarwal · Lin Yang
[ Paper ]
Spotlight
Thu Jul 22 11:35 AM -- 11:40 AM (KST)
Safe Reinforcement Learning Using Advantage-Based Intervention
In Reinforcement Learning Theory 5
Nolan Wagener · Byron Boots · Ching-An Cheng
[ Paper ]
Spotlight
Thu Jul 22 11:40 AM -- 11:45 AM (KST)
Robust Pure Exploration in Linear Bandits with Limited Budget
In Reinforcement Learning Theory 5
Ayya Alieva · Ashok Cutkosky · Abhimanyu Das
[ Paper ]
Spotlight
Thu Jul 22 11:45 AM -- 11:50 AM (KST)
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
In Reinforcement Learning Theory 5
Gokul Swamy · Sanjiban Choudhury · J. Bagnell · Steven Wu
[ Paper ]
Q&A
Thu Jul 22 11:50 AM -- 11:55 AM (KST)
Q&A
In Reinforcement Learning Theory 5