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Poster
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Tue 8:45
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Online Convex Optimization with Unbounded Memory
Raunak Kumar · Sarah Dean · Robert Kleinberg
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Workshop
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Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning
Tom Blau · Iadine Chades · Amir Dezfouli · Daniel Steinberg · Edwin Bonilla
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Poster
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Thu 8:45
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State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory
Shida Wang · Beichen Xue
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Workshop
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Sat 7:15
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Explore to Generalize in Zero-Shot RL
Ev Zisselman · Itai Lavie · Daniel Soudry · Aviv Tamar
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Workshop
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Fri 8:50
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Memory Architectures for Deep Learning
Sepp Hochreiter
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Poster
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Wed 15:00
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Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
Zhibin Duan · Zhiyi Lv · Chaojie Wang · Bo Chen · Bo An · Mingyuan Zhou
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Workshop
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Sat 8:20
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Adaptive Clinical Trials: Reinforcement Learning's Most Formidable Challenge - Mihaela van der Schaar
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Workshop
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Sat 9:10
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Yunkai Zhang - VMR2L: Virtual Machines Rescheduling Using Reinforcement Learning in Data Centers
Yunkai Zhang
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Workshop
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Sequential Learning and Retrieval in a Sparse Distributed Memory: The K-winner Modern Hopfield Network
Shaunak Bhandarkar · James McClelland
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Workshop
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Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning
Ali Baheri
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Workshop
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Fri 8:30
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Sequential Learning and Retrieval in a Sparse Distributed Memory: The K-winner Modern Hopfield Network
Shaunak Bhandarkar · James McClelland
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Workshop
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Sat 7:05
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Doina Precup - Towards a General Blueprint for Continual Reinforcement Learning
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