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Workshop
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Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
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Workshop
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Domain Invariant Q-Learning for model-free robust continuous control under visual distractions
Tom Dupuis · Jaonary Rabarisoa · Quoc Cuong PHAM · David Filliat
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Poster
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Model-Based Opponent Modeling
XiaoPeng Yu · Jiechuan Jiang · Wanpeng Zhang · Haobin Jiang · Zongqing Lu
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Workshop
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Offline evaluation in RL: soft stability weighting to combine fitted Q-learning and model-based methods
Briton Park · Xian Wu · Bin Yu · Angela Zhou
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Poster
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Wed 9:00
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Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
Alekh Agarwal · Tong Zhang
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Poster
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Thu 14:00
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Approximate Value Equivalence
Christopher Grimm · Andre Barreto · Satinder Singh
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Workshop
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A Novel Model-Based Attribute Inference Attack in Federated Learning
ilias driouich · CHUAN XU · Giovanni Neglia · Frederic Giroire · Eoin Thomas
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Workshop
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Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis · Demba Ba
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Poster
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Thu 9:00
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Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky · Nathan Lichtlé · Xiaomeng Yang · Brandon Amos · Jakob Foerster
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Poster
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Tue 9:00
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Operator Splitting Value Iteration
Amin Rakhsha · Andrew Wang · Mohammad Ghavamzadeh · Amir-massoud Farahmand
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