Work

Divide-and-Conquer Monte Carlo Tree Search

Year: 2021

Type: article

Authors: Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Théophane Weber

Institutions: ETH Zurich, Google DeepMind (United Kingdom), Google (United States), Max Planck Institute for Intelligent Systems

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3132083418

FWCI:

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Related to: 10