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Transition Model in ML - Python Automation and Machine Learning for ICs - - An Online Book - |
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| Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/ | ||||||||
| Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= In MDPs (Markov Decision Processes), a transition model specifies the probabilities of moving from one state to another after taking a specific action. It essentially describes the dynamics of the system. To rephrase the definition in the MDPs: A transition model is a description of the probabilities of transitioning from one state to another as a result of performing any applicable action in any state.
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