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Poster
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Sequential Learning of Neural Networks for Prequential MDL
Jorg Bornschein · Yazhe Li · Marcus Hutter
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Workshop
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Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
Massimo Caccia · Jonas Mueller · Taesup Kim · Laurent Charlin · Rasool Fakoor
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Poster
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PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Toygun Basaklar · Suat Gumussoy · Umit Ogras
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Poster
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Quasi-optimal Reinforcement Learning with Continuous Actions
Yuhan Li · Wenzhuo Zhou · Ruoqing Zhu
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Poster
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Making Better Decision by Directly Planning in Continuous Control
Jinhua Zhu · Yue Wang · Lijun Wu · Tao Qin · Wengang Zhou · Tie-Yan Liu · Houqiang Li
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Poster
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Tue 2:30
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Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
Jiachen Hu · Han Zhong · Chi Jin · Liwei Wang
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Poster
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Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
Jeremy Ocampo · Matthew Price · Jason McEwen
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Poster
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Learning Fast and Slow for Online Time Series Forecasting
Quang Pham · Chenghao Liu · Doyen Sahoo · Steven Hoi
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Poster
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Mon 2:30
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Continuous pseudo-labeling from the start
Dan Berrebbi · Ronan Collobert · Samy Bengio · Navdeep Jaitly · Tatiana Likhomanenko
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Poster
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MECTA: Memory-Economic Continual Test-Time Model Adaptation
Junyuan Hong · Lingjuan Lyu · Jiayu Zhou · Michael Spranger
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Poster
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Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
Myeongho Jeon · Hyoje Lee · Yedarm Seong · Myungjoo Kang
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Poster
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Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
Ali Hummos
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