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Found 5 papers, 0 papers with code
Automatically Learning HTN Methods from Landmarks
We prove CURRICULAMA's soundness, and show experimentally that it has a substantially similar convergence rate in learning a complete set of methods to HTN-MAKER.
Deliberative Acting, Online Planning and Learning with Hierarchical Operational Models
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.
Integrating Acting, Planning and Learning in Hierarchical Operational Models
We present new planning and learning algorithms for RAE, the Refinement Acting Engine.
An Evaluation of Two Alternatives to Minimax
In the field of Artificial Intelligence, traditional approaches to choosing moves in games involve the we of the minimax algorithm.
Predicting The Performance of Minimax and Product in Game-Tree
The discovery that the minimax decision rule performs poorly in some games has sparked interest in possible alternatives to minimax.
