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Poster
Tue 14:00 VA-learning as a more efficient alternative to Q-learning
Yunhao Tang · Remi Munos · Mark Rowland · Michal Valko
Poster
Thu 13:30 Meta-Learning the Inductive Bias of Simple Neural Circuits
Will Dorrell · Maria Yuffa · Peter Latham
Poster
Tue 14:00 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
Jiwoo Son · Minsu Kim · Hyeonah Kim · Jinkyoo Park
Poster
Tue 14:00 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu · Li Shen · Zhenyi Wang · Baoyuan Wu · Chun Yuan · Dacheng Tao
Poster
Wed 14:00 Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL
Taku Yamagata · Ahmed Khalil · Raul Santos-Rodriguez
Poster
Tue 14:00 ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang · Xianjun Yang · William Wang · Lei Li
Poster
Wed 14:00 Memory-Based Meta-Learning on Non-Stationary Distributions
Tim Genewein · Gregoire Deletang · Anian Ruoss · Li Kevin Wenliang · Elliot Catt · Vincent Dutordoir · Jordi Grau-Moya · Laurent Orseau · Marcus Hutter · Joel Veness
Poster
Thu 13:30 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
Jiin Woo · Gauri Joshi · Yuejie Chi
Poster
Thu 16:30 Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
Yongho Shin · Changyeol Lee · Gukryeol Lee · Hyung-Chan An
Poster
Tue 17:00 Learning-Rate-Free Learning by D-Adaptation
Aaron Defazio · Konstantin Mishchenko
Poster
Wed 14:00 Learning-augmented private algorithms for multiple quantile release
Mikhail Khodak · Kareem Amin · Travis Dick · Sergei Vassilvitskii
Oral
Thu 19:04 Learning-Rate-Free Learning by D-Adaptation
Aaron Defazio · Konstantin Mishchenko