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

Results