1 citations · 1 across the 3 of their papers we have counts for
3 papers
Safe-Planner: A Single-Outcome Replanner for Computing Strong Cyclic Policies in Fully Observable Non-Deterministic Domains
Vahid Mokhtari, Ajay Suresha Sathya, Nikolaos Tsiogkas +1
Replanners are efficient methods for solving non-deterministic planning problems. Despite showing good scalability, existing replanners often fail to solve problems involving a lar…
Computing the Scope of Applicability for Acquired Task Knowledge in Experience-Based Planning Domains
Vahid Mokhtari, Luis Seabra Lopes, Armando Pinho +1
Experience-based planning domains have been proposed to improve problem solving by learning from experience. They rely on acquiring and using task knowledge, i.e., activity schemat…
Learning Task Knowledge and its Scope of Applicability in Experience-Based Planning Domains
Vahid Mokhtari, Luis Seabra Lopes, Armando Pinho +1
Experience-based planning domains (EBPDs) have been recently proposed to improve problem solving by learning from experience. EBPDs provide important concepts for long-term learnin…