Theory of Mind (ToM)-the ability of the human mind to attribute mental states to others-is a
key component of human cognition. In order to understand other people's mental states or …

Reinforcement learning from human feedback (RLHF) is a technique for training AI systems
to align with human goals. RLHF has emerged as the central method used to finetune state …

'Vital reading. This is the book on artificial intelligence we need right now.'Mike Krieger,
cofounder of Instagram Artificial intelligence is rapidly dominating every aspect of our …

AI systems often rely on two key components: a specified goal or reward function and an
optimization algorithm to compute the optimal behavior for that goal. This approach is …

A fundamental challenge in multiagent reinforcement learning is to learn beneficial
behaviors in a shared environment with other simultaneously learning agents. In particular …

Artificial intelligence (AI) has as its aim the creation of intelligent machines. An entity is
considered to be intelligent, roughly speaking, if it chooses actions that are expected to …

We consider a Bayesian approach to offline model-based inverse reinforcement learning
(IRL). The proposed framework differs from existing offline model-based IRL approaches by …

Humans have internal models of robots (like their physical capabilities), the world (like what
will happen next), and their tasks (like a preferred goal). However, human internal models …

The standard model for developing AI systems assumes a fixed, known objective that the AI
system is required to optimize through its actions. Systems developed within the standard …

A long tradition in philosophy and economics equates intelligence with the ability to act
rationally—that is, to choose actions that can be expected to achieve one's objectives. This …