Vinzenz Thoma: [1/2]Our work “Learning to steer Markovian Agents under Model Uncertainty” explores the problem of steering (unknown) learning dynamics in Markov Games towards desirable outcomes (e.g. Pareto optimal Nash). My co-author Jiawei Huang is presenting it at ICLR on Apr 24, 3:00-5:30pm GMT+8, Poster #401.

[1/2]Our work “Learning to steer Markovian Agents under Model Uncertainty” explores the problem of steering (unknown) learning dynamics in Markov Games towards desirable outcomes (e.g. Pareto optimal Nash). My co-author Jiawei Huang is presenting it at ICLR on Apr 24, 3:00-5:30pm GMT+8, Poster #401.