3 papers
cs.AI2025
Planning with affordances: Integrating learned affordance models and symbolic planning
Rajesh Mangannavar
Intelligent agents working in real-world environments must be able to learn about the environment and its capabilities which enable them to take actions to change to the state of t…
cs.LG2024
Graph Neural Network Based Action Ranking for Planning
Rajesh Mangannavar, Stefan Lee, Alan Fern +1
We propose a novel approach to learn relational policies for classical planning based on learning to rank actions. We introduce a new graph representation that explicitly captures…
cs.LG2024
Hierarchical Object-Oriented POMDP Planning for Object Rearrangement
Rajesh Mangannavar, Alan Fern, Prasad Tadepalli
We present an online planning framework and a new benchmark dataset for solving multi-object rearrangement problems in partially observable, multi-room environments. Current object…