- author = "David R. White and Shin Yoo and Jeremy Singer",
- title = "The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression",
- booktitle = "GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation",
- year = "2015",
- editor = "Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco {Fernandez de Vega} and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr",
- isbn13 = "978-1-4503-3488-4",
- keywords = "genetic algorithms, genetic programming, ECJ, Monte Carlo Tree Search, UCT, Nested: Poster",
- pages = "1521--1522",
- month = "11-15 " # jul,
- organisation = "SIGEVO",
- address = "Madrid, Spain",
-
URL = "
http://doi.acm.org/10.1145/2739482.2764655",
-
DOI = "
10.1145/2739482.2764655",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- size = "2 pages",
- abstract = "We develop previous work by Tristan Cazenave applying Monte Carlo Tree Search (MCTS) to programming. We compare MCTS to Genetic Programming (GP) and find that MCTS is competitive with GP for standard benchmarks.",
-
notes = "Keijzer6, Vladislavleva4, Pagie1, Nguyen7
Also known as \cite{2764655} Distributed at GECCO-2015.",
