1 code implementation • 25 Oct 2020 • Arthur Bit-Monnot, Malik Ghallab, Félix Ingrand, David E. Smith
FAPE's representation coherently integrates flexible timelines with hierarchical refinement methods that can provide efficient control knowledge.
no code implementations • 2 Oct 2020 • Sunandita Patra, James Mason, Malik Ghallab, Dana Nau, Paolo Traverso
However, executing the planned actions has needed operational models, in which rich computational control structures and closed-loop online decision-making are used to specify how to perform an action in a nondeterministic execution context, react to events and adapt to an unfolding situation.
no code implementations • 9 Mar 2020 • Sunandita Patra, James Mason, Amit Kumar, Malik Ghallab, Paolo Traverso, Dana Nau
We present new planning and learning algorithms for RAE, the Refinement Acting Engine.