Cited by 301Reinforcement Learning in RoboticsAI-based Problem Solving and PlanningMachine Learning and Algorithms

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Learning to perceive and act by trial and error

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Whitehead, Steven D., Ballard, Dana H.·1991·Machine Learning

DOI 10.1007/bf00058926

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Authors: Whitehead, S. D., & Ballard, D. H.
Affiliations: University of Rochester (US)
Venue: Machine Learning
Publisher: Springer Science and Business Media LLC
Published: 1991-07
Volume: 7
Issue: 1
Pages: 45-83
ISSN: 0885-6125 (ISSN-L)
1573-0565
DOI: 10.1007/bf00058926
OpenAlex: W2052117683
Cited by: 300
References: 64
Citations by year: 2026: 6 · 2025: 4 · 2024: 6 · 2023: 6 · 2022: 3 · 2021: 14 · 2020: 4 · 2019: 7 · 2018: 7 · 2017: 11 · 2016: 6 · 2015: 3 · 2014: 4 · 2013: 10 · 2012: 7
FWCI: 12.15
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springer.com/tdm (tdm)
Locations: Machine Learning (publishedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
Keywords: active perception, perceptual aliasing, reinforcement learning, adaptive control architecture, sensorimotor system, visual attention, decision-making systems, internal representations

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Learning to perceive and act by trial and error

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