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Found 4 papers, 1 papers with code
Planning for Learning Object Properties
Autonomous agents embedded in a physical environment need the ability to recognize objects and their properties from sensory data.
Online Grounding of Symbolic Planning Domains in Unknown Environments
If a robotic agent wants to exploit symbolic planning techniques to achieve some goal, it must be able to properly ground an abstract planning domain in the environment in which it operates.
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning
In multi-agent planning, agents jointly compute a plan that achieves mutual goals, keeping certain information private to the individual agents.
Best-First Width Search for Multi Agent Privacy-preserving Planning
In multi-agent planning, preserving the agents' privacy has become an increasingly popular research topic.
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