Work

Importance sampling for reinforcement learning with multiple objectives

Year: 2001

Type: article

Abstract: Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.

Source: DSpace@MIT (Massachusetts Institute of Technology)

Authors: Christian R. Shelton, Tomaso Poggio

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Toyota Motor Corporation, Defense Advanced Research Projects Agency, Office of Naval Research

Awards: Adaptive Man-Machine Interfaces, ITR: From Bits to Information: Statistical Learning Technologies for Digital Information Management and Search, KDI: Learning of Objects and Object Classes in Visual Cortex, G8876996369

OpenAlex ID: W2033976720

FWCI: 2.409

Cites: 40

Cited by: 69

Related to: 10