mathematics, a Markov decision process (MDP) is a discrete-time stochastic control process. It provides a mathematical framework for modeling decision making...

observable Markov decision process (POMDP) is a generalization of a Markov decision process (MDP). A POMDP models an agent decision process in which it...

A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on...

to expected rewards. A partially observable Markov decision process (POMDP) is a Markov decision process in which the state of the system is only partially...

The decentralized partially observable Markov decision process (Dec-POMDP) is a model for coordination and decision-making among multiple agents. It is a...

of an exact mathematical model of the Markov decision process and they target large Markov decision processes where exact methods become infeasible....

probability theory and statistics, the term Markov property refers to the memoryless property of a stochastic process, which means that its future evolution...

transitions and rewards without requiring adaptations. For any finite Markov decision process, Q-learning finds an optimal policy in the sense of maximizing...

Markov decision process Markov's inequality Markov brothers' inequality Markov information source Markov network Markov number Markov property Markov process...

Gauss–Markov theorem Gauss–Markov process Markov blanket Markov boundary Markov chain Markov chain central limit theorem Additive Markov chain Markov additive...