Work

Learning Dynamic State Abstractions for Model-Based Reinforcement Learning

Year: 2018

Type: article

Authors: Lars Buesing, Théophane Weber, Sébastien Racanière, S. M. Ali Eslami, Danilo Jimenez Rezende, David Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis

Institution: Google (United States)

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2786957659

FWCI: 0.14

Cites:

Cited by: 1

Related to: 10