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