2022
Online Planning for Interactive-POMDPs using Nested Monte Carlo Tree Search
IROS 2022poster
The ability to make good decisions in partially observed non-cooperative multi-agent scenarios is important for robots to interact effectively in human environments. A robust framework for such decision-making problems is the Interactive Partially Observable Markov Decision Processes (I-POMDPs), whi…