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Everything about Action model learning
Action model learning is an area of machine learning concerned with the creation and modification of a software agent's knowledge about the effects and preconditions of the actions that can be executed within its environment. This knowledge is usually represented in a logic-based action description language and used as input for automated planners. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Action model learningA 5-minute orientation
- Skim a recent paper: An active inference model of hierarchical action understanding, learning and imitationInfluential work since 2022
- Pick up a classic book: Learning PythonThe most-reprinted book on the subject
- Read the landmark paper: Human action learning via hidden Markov modelCited 178 times
- Go sideways: Automated planning and schedulingA closely related topic
- Go sideways: Shlomo ZilbersteinA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Human action learning via hidden Markov model
A new hybrid deep learning model for human action recognition
Model-based hierarchical reinforcement learning and human action control
Inside Action Learning: an Exploration of the Psychology and Politics of the Action Learning Model
A model for designing action learning and action research programs
Action-model acquisition for planning via transfer learning
Multiple stream deep learning model for human action recognition
Accrediting Work‐based Learning: Action Learning – A Model for Empowerment
🆕 Influential since 2022
An active inference model of hierarchical action understanding, learning and imitation
Pose-guided model for driving behavior recognition using keypoint action learning
A Deep Learning-Based Action Recommendation Model for Cryptocurrency Profit Maximization
Machine learning for predictive model in entrepreneurship research: predicting entrepreneurial action
Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition
📚 Books worth reading
Learning PythonMark Lutz, David Ascher · 1999
Learning to think strategicallyJulia Sloan · 2006
Learning PHP, MySQL & JavaScriptRobin Nixon · 2009
Developing innovation in online learningMaggie McPherson · 2003
Service-Learning in the Disciplines 21 volume set (Service Learning in the Disciplines Series)Edward Zlotkowski · 1997
Games, learning, and societyConstance Steinkuehler, Kurt Squire · 2012
Adult learningSharan B. Merriam · 2013
Endocrine disruption modelingJames Devillers · 2009
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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