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Runtime Safety through Adaptive Shielding: From Hidden Parameter Inference to Provable Guarantees

Scaling Curriculum Learning for Autonomous Driving

MoS-VLA: A Vision-Language-Action Model with One-Shot Skill Adaptation

DiBS-MTL: Transformation-Invariant Multitask Learning with Direction Oracles

Function Spaces Without Kernels: Learning Compact Hilbert Space Representations

Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles

VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR

Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability

Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL

Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games

CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features

Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces

Safety-Prioritizing Curricula for Constrained Reinforcement Learning