Paper-Conference

We introduce the challenging Sterkfontein Caves dataset comprising ten underground scenes from a UNESCO World Heritage Site, and use it …

We describe a research programme aimed at the construction of a single, generally intelligent agent—one competent across all …

We present Mortar, a system for autonomously evolving game mechanics for automatic game design. Game mechanics define the rules and …

Model collapse, the degradation in performance that arises when generative models are trained on the outputs of prior models, has …

We consider the problem of unsupervised skill segmentation and hierarchical structure discovery in reinforcement learning. While recent …

Evaluating moral alignment in agents navigating conflicting, hierarchically structured human norms is a critical challenge at the …

We consider how to construct state abstractions compatible with a given set of abstract actions, to obtain a well-formed abstract …

Large language models (LLMs) have recently demonstrated great success in generating and understanding natural language. While they have …

Large language models (LLMs) have emerged as powerful tools capable of accomplishing a broad spectrum of tasks. Their abilities span …

It is desirable for an agent to be able to solve a rich variety of problems that can be specified through language in the same …