stochastic

Markov Chain

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

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