Papers
Towards Robust Human–AI Decision-Making via Learning-to-Defer
Yannis Montreuil
Multi-Robot Learning from Human Feedback
Connor Mattson
Multimodal Tabular Data Learning
Jun-Peng Jiang
Knowledge-Based Stable Roommates Problems
Müge Fidan
Empowering LLMs with Symbolic Representation and Reasoning
Fengxiang Cheng
Interpretable Adversarial Reinforcement Learning
Oliver Chang
Eliciting Causal Knowledge from Agents
Matteo Ceriscioli
Specification-Guided Reinforcement Learning
Tanmay Ambadkar
Discovering Hybrid World Representations with Co-Evolving Foundation Models
Jiajun Wu, Yunzhi Zhang, Hong-Xing Yu et al.