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Oral
Fri Jul 22 04:30 AM -- 04:50 AM (KST) @ Room 309
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
In Reinforcement Learning/Optimization
Daniil Tiapkin · Denis Belomestny · Eric Moulines · Alexey Naumov · Sergey Samsonov · Yunhao Tang · Michal Valko · Pierre Menard
Spotlight
Fri Jul 22 04:50 AM -- 04:55 AM (KST) @ Room 309
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
In Reinforcement Learning/Optimization
Scott Fujimoto · David Meger · Doina Precup · Ofir Nachum · Shixiang Gu
Spotlight
Fri Jul 22 04:55 AM -- 05:00 AM (KST) @ Room 309
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
In Reinforcement Learning/Optimization
Arnab Kumar Mondal · Vineet Jain · Kaleem Siddiqi · Siamak Ravanbakhsh
Spotlight
Fri Jul 22 05:00 AM -- 05:05 AM (KST) @ Room 309
Imitation Learning by Estimating Expertise of Demonstrators
In Reinforcement Learning/Optimization
Mark Beliaev · Andy Shih · Stefano Ermon · Dorsa Sadigh · Ramtin Pedarsani
Spotlight
Fri Jul 22 05:05 AM -- 05:10 AM (KST) @ Room 309 None
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
In Reinforcement Learning/Optimization
Ryan Sullivan · Jordan Terry · Benjamin Black · John P Dickerson
[ Slides]  [ Paper PDF] 
Spotlight
Fri Jul 22 05:10 AM -- 05:15 AM (KST) @ Room 309
Off-Policy Evaluation for Large Action Spaces via Embeddings
In Reinforcement Learning/Optimization
Yuta Saito · Thorsten Joachims
Oral
Fri Jul 22 05:15 AM -- 05:35 AM (KST) @ Room 309
Online Decision Transformer
In Reinforcement Learning/Optimization
Qinqing Zheng · Amy Zhang · Aditya Grover
Spotlight
Fri Jul 22 05:35 AM -- 05:40 AM (KST) @ Room 309
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
In Reinforcement Learning/Optimization
Jan Kaiser · Oliver Stein · Annika Eichler
Spotlight
Fri Jul 22 05:40 AM -- 05:45 AM (KST) @ Room 309
How to Leverage Unlabeled Data in Offline Reinforcement Learning
In Reinforcement Learning/Optimization
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Chelsea Finn · Sergey Levine
Spotlight
Fri Jul 22 05:45 AM -- 05:50 AM (KST) @ Room 309
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
In Reinforcement Learning/Optimization
Philippe Hansen-Estruch · Amy Zhang · Ashvin Nair · Patrick Yin · Sergey Levine
Spotlight
Fri Jul 22 05:50 AM -- 05:55 AM (KST) @ Room 309
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
In Reinforcement Learning/Optimization
Pedro Soto · Ilia Ilmer · Haibin Guan · Jun Li
Spotlight
Fri Jul 22 05:55 AM -- 06:00 AM (KST) @ Room 309
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
In Reinforcement Learning/Optimization
Timothy Castiglia · Anirban Das · Shiqiang Wang · Stacy Patterson