no code implementations • 22 May 2023 • Archana Vadakattu, Michelle Blom, Adrian R. Pearce
As a first step toward this goal, we develop a method for extracting strategies from an agent's existing knowledge that can be applied in multiple contexts.
no code implementations • 7 Jul 2022 • Stefan O'Toole, Miquel Ramirez, Nir Lipovetzky, Adrian R. Pearce
We introduce a new algorithm, Regression based Supervised Learning (RSL), for learning per instance Neural Network (NN) defined heuristic functions for classical planning problems.
no code implementations • 6 Oct 2021 • Christian Muise, Vaishak Belle, Paolo Felli, Sheila Mcilraith, Tim Miller, Adrian R. Pearce, Liz Sonenberg
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents to reason about their own beliefs, as well as those of other agents.