Using Background Knowledge to Speed Reinforcement Learning in Physical Agents

doi 10.1145/375735.376305
Full Text
Abstract

Available in full text

Date
Authors
Publisher

ACM Press

Related search

Transferring Task Models in Reinforcement Learning Agents

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2013English

Transferring Models in Hybrid Reinforcement Learning Agents

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
2011English

Background Knowledge in Learning-Based Relation Extraction

2012English

Evaluating Reinforcement Learning Agents for Anatomical Landmark Detection

Medical Image Analysis
Nuclear MedicineComputer GraphicsPattern RecognitionUltrasound TechnologyRadiologicalHealth InformaticsComputer VisionRadiologyComputer-Aided DesignImaging
2019English

Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
1999English

Knowledge Mining Using Intelligent Agents

Advances in Computer Science and Engineering: Texts
2010English

Bayesian Inverse Reinforcement Learning for Modeling Conversational Agents in a Virtual Environment

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2014English

Biped Dynamic Walking Using Reinforcement Learning

Robotics and Autonomous Systems
ControlSystems EngineeringSoftwareComputer Science ApplicationsMathematics
1997English

Self-Improving Reactive Agents: Case Studies of Reinforcement Learning Frameworks

1991English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy