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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 09:00 AM -- 09:20 AM (KST)
UCB Momentum Q-learning: Correcting the bias without forgetting
In Reinforcement Learning Theory 3
Pierre Menard · Omar Darwiche Domingues · Xuedong Shang · Michal Valko
[ Paper ]
Spotlight
Thu Jul 22 09:20 AM -- 09:25 AM (KST)
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions
In Reinforcement Learning Theory 3
Pierre Alquier
[ Paper ]
Spotlight
Thu Jul 22 09:25 AM -- 09:30 AM (KST)
Adversarial Dueling Bandits
In Reinforcement Learning Theory 3
Aadirupa Saha · Tomer Koren · Yishay Mansour
[ Paper ]
Spotlight
Thu Jul 22 09:30 AM -- 09:35 AM (KST)
Fast active learning for pure exploration in reinforcement learning
In Reinforcement Learning Theory 3
Pierre Menard · Omar Darwiche Domingues · Anders Jonsson · Emilie Kaufmann · Edouard Leurent · Michal Valko
[ Paper ]
Spotlight
Thu Jul 22 09:35 AM -- 09:40 AM (KST)
Leveraging Non-uniformity in First-order Non-convex Optimization
In Reinforcement Learning Theory 3
Jincheng Mei · Yue Gao · Bo Dai · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Spotlight
Thu Jul 22 09:40 AM -- 09:45 AM (KST)
Probabilistic Programs with Stochastic Conditioning
In Reinforcement Learning Theory 3
David Tolpin · Yuan Zhou · Tom Rainforth · Hongseok Yang
[ Paper ]
Q&A
Thu Jul 22 09:45 AM -- 09:50 AM (KST)
Q&A
In Reinforcement Learning Theory 3