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Workshop
Reinforcement Learning Generalization with Surprise Minimization
Jerry Zikun Chen
Workshop
Sat 5:50 Automatic Data Augmentation for Generalization in Reinforcement Learning
Roberta Raileanu
Poster
Wed 11:00 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
Pan Xu · Quanquan Gu
Poster
Tue 9:00 Lookahead-Bounded Q-learning
Ibrahim El Shar · Daniel Jiang
Affinity Workshop
Mon 11:35 Breakout Session 4.3: Coping with Sample Inefficiency of Deep-Reinforcement Learning (DRL) for Embodied AI
Poster
Thu 7:00 ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su · Jayden Ooi · Tyler Lu · Dale Schuurmans · Craig Boutilier
Workshop
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Gerrit Schoettler
Poster
Wed 13:00 Super-efficiency of automatic differentiation for functions defined as a minimum
Pierre Ablin · Gabriel Peyré · Thomas Moreau
Poster
Wed 16:00 Safe Reinforcement Learning in Constrained Markov Decision Processes
Akifumi Wachi · Yanan Sui
Poster
Tue 8:00 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang · Bo Liu · Shimon Whiteson
Poster
Wed 16:00 Automated Synthetic-to-Real Generalization
Wuyang Chen · Zhiding Yu · Zhangyang “Atlas” Wang · Anima Anandkumar
Poster
Tue 10:00 Selective Dyna-style Planning Under Limited Model Capacity
Zaheer Abbas · Samuel Sokota · Erin Talvitie · Martha White