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Workshop
Can Reinforcement Learning Efficiently Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers?
Han Zhong · Zhuoran Yang · Zhaoran Wang · Michael Jordan
Poster
Mon 10:30 MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta · Mohammad Rastegari
Poster
Tue 18:30 When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
Ziang Song · Song Mei · Yu Bai
Workshop
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation
Brian Zhang · Gabriele Farina · Andrea Celli · Tuomas Sandholm
Workshop
Dynamic Noises of Multi-Agent Environments Can Improve Generalization: Agent-based Models meets Reinforcement Learning
Mohamed Akrout · Bob McLeod
Workshop
Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction
Jiacheng Zhu · Jielin Qiu · Zhuolin Yang · Michael Rosenberg · Emerson Liu · Bo Li · DING ZHAO
Workshop
General sum stochastic games with networked information flow
Sarah Li · Lillian J Ratliff · Peeyush Kumar
Workshop
Disentanglement and Generalization Under Correlation Shifts
Christina Funke · Paul Vicol · Kuan-Chieh Wang · Matthias Kümmerer · Richard Zemel · Matthias Bethge
Workshop
Generalization Games for Reinforcement Learning
Manfred Diaz · Charlie Gauthier · Glen Berseth · Liam Paull
Workshop
Invariant Causal Representation Learning for Generalization in Imitation and Reinforcement Learning
Chaochao Lu · José Miguel Hernández Lobato · Bernhard Schoelkopf
Workshop
Maximizing entropy on adversarial examples can improve generalization
Amrith Setlur · Benjamin Eysenbach
Workshop
Improving Generalization with Approximate Factored Value Functions
Shagun Sodhani · Sergey Levine · Amy Zhang