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SoCS 2021

Adversary Strategy Sampling for Effective Plan Generation

Conference Paper Extended Abstracts Algorithms and Complexity · Artificial Intelligence · Automated Planning and Scheduling

Abstract

Effective plan generation in adversarial environments has to take into account possible actions of adversary agents, i. e. , the agent should know what the competitor will likely do. In this paper we propose a novel approach for estimating strategies of the adversary, sampling actions that interfere with the agent

Authors

Keywords

  • Adversarial Search

Context

Venue
International Symposium on Combinatorial Search
Archive span
2010-2024
Indexed papers
598
Paper id
697442756514244926
v2026.09.13