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Currently, I am a Research Staff Member at the Cognitive User Experience Lab. I completed my PhD under the supervision of Professors Sheila McIlraith. In the area of Automated Planning. With the Knowledge Representation and Reasoning Group. At the University of Toronto. Studying techniques for multi-agent planning with a project on human-agent collaboration.
Translates a problem with state-dependent action costs into one without. Calls the torchlight software to analyze classical problems. Adds a number of utilities to the editor for generating PDDL. Is a fully featured PDDL. Double-click on a tab to rename the file. Will save the file locally. Will open the import dialog. Will open a new editor tab. Will close the current tab.
An automated planner in the cloud. The solver component of planning. Is an automated planner and validator in the cloud. You can invoke the software either by sending links to the PDDL files or sending raw PDDL content in JSON format directly to retrieve or validate a plan. Must be set and correspon.
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api.planning.domainsDESCRIPTION
An interface to the repository of PDDL domains and problems. 1 api.planning.domains. 2 solver.planning.domains. 3 editor.planning.domains. The planning.domains API provides programmatic access to a wide collection of PDDL benchmark domain and problem files. All of the physical files can be found in the repository of domains. Over at BitBucket. You can get a copy for yourself by cloning the repository, or using the command-line utility described below. The API contains three types of objects. We are w.CONTENT
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Translates a problem with state-dependent action costs into one without. Calls the torchlight software to analyze classical problems. Adds a number of utilities to the editor for generating PDDL. Is a fully featured PDDL. Double-click on a tab to rename the file. Will save the file locally. Will open the import dialog. Will open a new editor tab. Will close the current tab.
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