CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions
Authors
Peter I Cowling
Simon M Lucas
+5 more
Diego Perez
Edward J Powley
Philipp Rohlfshagen
Spyridon Samothrakis
Daniel Whitehouse
Publication date
17 May 2013
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Cite
Abstract
This paper presents a number of approaches for solving a real-time game consisting of a ship that must visit a number of waypoints scattered around a 2-D maze full of obstacles. The game, the Physical Traveling Salesman Problem (PTSP), which featured in two IEEE conference competitions during 2012, provides a good balance between long-term planning (finding the optimal sequence of waypoints to visit), and short-term planning (driving the ship in the maze). This paper focuses on the algorithm that won both PTSP competitions: it takes advantage of the physics of the game to calculate the optimal order of waypoints, and it employs Monte Carlo tree search (MCTS) to drive the ship. The algorithm uses repetitions of actions (macro actions) to reduce the search space for navigation. Variations of this algorithm are presented and analyzed, in order to understand the strength of each one of its constituents and to comprehend what makes such an approach the best controller found so far for the PTSP. © 2009-2012 IEEE
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Falmouth University Research Repository (FURR)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:repository.falmouth.ac.uk:...
Last time updated on 30/06/2017
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1109%2Ftciaig.2013...
Last time updated on 01/04/2019
University of Essex Research Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:repository.essex.ac.uk:725...
Last time updated on 14/09/2013