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Yair Shinar
Deliverer of Efficient Results
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stochastic

Markov Chain

2019-09-08
On: September 8, 2019
In: AI, Algorithms, Autonomous Vehicles, Cars, Computer Vision, Drones, NLP, Reinforcement Learning

A Markov chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event. (“memorylessness”)Continue Reading

Markov decision process (MDP) – Reinforcement Learning decision model

2019-07-06
On: July 6, 2019
In: AI, Deep Machine Learning, Reinforcement Learning

* Is a discrete time stochastic control process for decision making in situations where outcomes are partly random and partly under the control of a decision maker. * At each discrete time step, the process is in some state s, and the decision maker may choose any action a thatContinue Reading

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Yair Shinar

Clarifying the need → Finding the solution → Executing → Optimizing

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