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Poster
Wed 0:30 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
Fang Kong · Yueran Yang · Wei Chen · Shuai Li
Poster
Tue 8:30 Post-Contextual-Bandit Inference
Aurelien Bibaut · Maria Dimakopoulou · Nathan Kallus · Antoine Chambaz · Mark van der Laan
Poster
Tue 8:30 Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits
Shinji Ito
Poster
Tue 8:30 Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
Orestis Papadigenopoulos · Constantine Caramanis
Poster
Wed 0:30 Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
Jack Parker-Holder · Vu Nguyen · Shaan Desai · Stephen J Roberts
Poster
Thu 0:30 Making the most of your day: online learning for optimal allocation of time
Etienne Boursier · Tristan Garrec · Vianney Perchet · Marco Scarsini
Workshop
Tue 14:40 MAGNET: Multi-Agent Graph Cooperative Bandits (Hengrui Cai)
Hengrui Cai
Poster
Thu 8:30 Fair Algorithms for Multi-Agent Multi-Armed Bandits
Safwan Hossain · Evi Micha · Nisarg Shah
Datasets and Benchmarks
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation
Yuta Saito · Shunsuke Aihara · Megumi Matsutani · Yusuke Narita
Poster
Tue 8:30 Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Kefan Dong · Jiaqi Yang · Tengyu Ma
Workshop
Tue 10:45 Your Bandit Model is Not Perfect: Introducing Robustness to Restless Bandits Enabled by Deep Reinforcement Learning
Jackson Killian
Poster
Tue 8:30 Bandits with Knapsacks beyond the Worst Case
Karthik Abinav Sankararaman · Aleksandrs Slivkins