Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning, Batuhan Yardim (ETH Zürich) and Niao He (ETH Zurich) [link]
Learning for Layered Safety-Critical Control with Predictive Control Barrier Functions, William D. Compton (California Institute of Technology), Max H. Cohen (California Institute of Technology) and Aaron D. Ames (California Institute of Technology) [link]
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems, Luke Bhan (University of California, San Diego), Peijia Qin (University of California, San Diego), Miroslav Krstic (University of California San Diego) and Yuanyuan Shi (University of California San Diego) [link]
The winner will be announced at the award ceremony on June 5.
Award Committee: Chuchu Fan, Dylan Foster, Na Li (chair), R. Srikant