Page Contributors: adamgreen,
Year Published: 2016
Paper: Heuristic Planning for PDDL+ Domains [Piotrowski, W. Fox, M. Long, D. Magazzeni, D. Mercorio, F.]
Preceded By: UPMurphi
Discretised Nonlinear Heuristic Planner (DiNo) with domain-independent planning heuristics and informed search algorithms. DiNo supports planning for linear and nonlinear continuous PDDL+ models with processes and events, as well as Timed Initial Literals and Timed Initial Fluents.
DiNo is based on the Discretise and Validate approach and it has been designed to automatically interface with the VAL plan validator.
DiNo has been developed as an extension of UPMurphi.
:typing in all domains it runs on, which makes it incompatible with Eviscerator. No support table has been generated.
For more information on how to download, visit DiNo’s GitHub page, which includes a comprehensive compilation guide
DiNo supports non-linear continuous effects through discretisation, which is its main purpose.