activity
20172022
most citedValue Directed Exploration in Multi-Armed Bandits with Structured Priors

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AI2022

Beam Search: Faster and Monotonic

Sofia Lemons, Carlos Linares López, Robert C. Holte +1

Beam search is a popular satisficing approach to heuristic search problems that allows one to trade increased computation time for lower solution cost by increasing the beam width…

cs.SI2021

Optimal Edge Weight Perturbations to Attack Shortest Paths

Benjamin A. Miller, Zohair Shafi, Wheeler Ruml +3

Finding shortest paths in a given network (e.g., a computer network or a road network) is a well-studied task with many applications. We consider this task under the presence of an…

cs.SI2021

PATHATTACK: Attacking Shortest Paths in Complex Networks

Benjamin A. Miller, Zohair Shafi, Wheeler Ruml +3

Shortest paths in complex networks play key roles in many applications. Examples include routing packets in a computer network, routing traffic on a transportation network, and inf…

cs.AI2020

EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding

Jiaoyang Li, Wheeler Ruml, Sven Koenig

Multi-Agent Path Finding (MAPF), i.e., finding collision-free paths for multiple robots, is important for many applications where small runtimes are necessary, including the kind o…

cs.AI2019

Improved Safe Real-time Heuristic Search

Bence Cserna, Kevin C. Gall, Wheeler Ruml

A fundamental concern in real-time planning is the presence of dead-ends in the state space, from which no goal is reachable. Recently, the SafeRTS algorithm was proposed for searc…

cs.LG20171 cited

Value Directed Exploration in Multi-Armed Bandits with Structured Priors

Bence Cserna, Marek Petrik, Reazul Hasan Russel +1

Multi-armed bandits are a quintessential machine learning problem requiring the balancing of exploration and exploitation. While there has been progress in developing algorithms wi…