AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …

Abstract Theory of mind (ToM) broadly refers to humans' ability to represent the mental
states of others, including their desires, beliefs, and intentions. We design a Theory of Mind …

We consider the multi-agent reinforcement learning setting with imperfect information. The
reward function depends on the hidden goals of both agents, so the agents must infer the …

Bayesian reward learning from demonstrations enables rigorous safety and uncertainty
analysis when performing imitation learning. However, Bayesian reward learning methods …

This survey presents an overview of verification techniques for autonomous systems, with a
focus on safety-critical autonomous cyber-physical systems (CPS) and subcomponents …

Imitation Learning is a promising paradigm for learning complex robot manipulation skills by
reproducing behavior from human demonstrations. However, manipulation tasks often …

Alignment of human and autonomous agent values and objectives is vital in human-
autonomy teaming settings which require collaborative action toward a common goal. In …

Those designing autonomous systems that interact with humans will invariably face
questions about how humans think and make decisions. Fortunately, computational …

People use language to influence others' beliefs and actions. Yet models of communication
have diverged along these lines, formalizing the speaker's objective in terms of either the …