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Poster
Thu 8:30 Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen · Hao Su · Xiaolong Wang
Poster
Thu 8:30 TAAC: Temporally Abstract Actor-Critic for Continuous Control
Haonan Yu · Wei Xu · Haichao Zhang
Oral Session
Fri 16:00 Oral Session 5: Reinforcement Learning and Planning
Poster
Fri 8:30 The Value of Information When Deciding What to Learn
Dilip Arumugam · Benjamin Van Roy
Poster
Thu 8:30 (Almost) Free Incentivized Exploration from Decentralized Learning Agents
Chengshuai Shi · Haifeng Xu · Wei Xiong · Cong Shen
Poster
Thu 0:30 Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
Junsu Kim · Younggyo Seo · Jinwoo Shin
Poster
Thu 0:30 Batched Thompson Sampling
Cem Kalkanli · Ayfer Ozgur
Poster
Fri 8:30 Hierarchical Skills for Efficient Exploration
Jonas Gehring · Gabriel Synnaeve · Andreas Krause · Nicolas Usunier
Poster
Wed 0:30 Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
Jianhao Wang · Zhizhou Ren · Beining Han · Jianing Ye · Chongjie Zhang
Poster
Tue 8:30 Bandit Quickest Changepoint Detection
Aditya Gopalan · Braghadeesh Lakshminarayanan · Venkatesh Saligrama
Poster
Wed 16:30 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Yu Bai · Chi Jin · Huan Wang · Caiming Xiong
Poster
Tue 8:30 Fair Exploration via Axiomatic Bargaining
Jackie Baek · Vivek Farias