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Workshop
Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
Workshop
Domain Invariant Q-Learning for model-free robust continuous control under visual distractions
Tom Dupuis · Jaonary Rabarisoa · Quoc Cuong PHAM · David Filliat
Poster
Model-Based Opponent Modeling
XiaoPeng Yu · Jiechuan Jiang · Wanpeng Zhang · Haobin Jiang · Zongqing Lu
Workshop
Offline evaluation in RL: soft stability weighting to combine fitted Q-learning and model-based methods
Briton Park · Xian Wu · Bin Yu · Angela Zhou
Poster
Wed 9:00 Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
Alekh Agarwal · Tong Zhang
Poster
Thu 14:00 Approximate Value Equivalence
Christopher Grimm · Andre Barreto · Satinder Singh
Workshop
A Novel Model-Based Attribute Inference Attack in Federated Learning
ilias driouich · CHUAN XU · Giovanni Neglia · Frederic Giroire · Eoin Thomas
Workshop
Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis · Demba Ba
Poster
Thu 9:00 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
Workshop
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
Workshop
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
Poster
Tue 9:00 Operator Splitting Value Iteration
Amin Rakhsha · Andrew Wang · Mohammad Ghavamzadeh · Amir-massoud Farahmand