Sriram Gopalakrishnan, Ph.D.

Sriram Gopalakrishnan, Ph.D.

AI Research Lead at J.P. Morgan Chase | Sequential-Decision Making Problems, Human-AI Interaction, & Generative AI

Integrating Planning, Execution and Monitoring in the Presence of Open World Novelties: Case Study of an Open World Monopoly Solver

Published in ICAPS Workshop on Integrating Planning and Execution (IntEx 2021), 2021

Recommended citation: Gopalakrishnan, S., Soni, U., Thai, T., Lymperopoulos, P., Scheutz, M., & Kambhampati, S. (2021). Integrating Planning, Execution and Monitoring in the Presence of Open World Novelties: Case Study of an Open World Monopoly Solver. In ICAPS IntEx Workshop. https://arxiv.org/abs/2108.01783

🎖️ Top Performer in DARPA SAIL-ON Monopoly Program

Abstract

As part of the DARPA SAIL-ON program, we present an AI system that combines symbolic Monte Carlo tree search, domain-level monitoring, and adaptive heuristic recalculation to detect and adapt to sudden open-world game rule mutations in Monopoly.

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Recommended citation: Gopalakrishnan, S., Soni, U., Thai, T., Lymperopoulos, P., Scheutz, M., & Kambhampati, S. (2021). Integrating Planning, Execution and Monitoring in the Presence of Open World Novelties: Case Study of an Open World Monopoly Solver. In ICAPS IntEx Workshop.