Multi|model Markov decision processes

Multi-model Markov decision processes - Brian Denton

In this article, we introduce the Multi- model Markov decision process (MMDP) which generalizes a standard MDP by allowing for mul- tiple models ...

Multi-model Markov decision processes - Taylor & Francis Online

In this article, we introduce the Multi-model Markov decision process (MMDP) which generalizes a standard MDP by allowing for multiple models of the rewards and ...

Markov decision process - Wikipedia

Markov decision process (MDP), also called a stochastic dynamic program or stochastic control problem, is a model for sequential decision making when ...

Markov Decision Process Definition, Working, and Examples

A Markov decision process (MDP) refers to a stochastic decision-making process that uses a mathematical framework to model the decision-making of a dynamic ...

Markov Decision Processes with Multiple Objectives - SpringerLink

We consider Markov decision processes (MDPs) with multiple discounted reward objectives. Such MDPs occur in design problems where one wishes to simultaneously ...

Understanding the Markov Decision Process (MDP) - Built In

The Markov decision process (MDP) is a mathematical framework used for modeling decision-making problems where the outcomes are partly random and partly ...

Policy-based branch-and-bound for infinite-horizon Multi-model ...

Markov decision processes (MDPs) are models for sequential decision-making that inform decision making in many fields, including healthcare, manufacturing, ...

Multi-Objective Markov Decision Processes for Data-Driven ...

We present new methodology based on Multi-Objective Markov Decision Processes for developing sequential decision support systems from data.

Markov Decision Process - GeeksforGeeks

In the problem, an agent is supposed to decide the best action to select based on his current state. When this step is repeated, the problem is ...

Multi-agent Multi-target Path Planning in Markov Decision Processes

This work considers the problem of visiting a set of targets in minimum time by a team of non-communicating agents in a Markov decision process (MDP).

Multi-model Markov Decision Processes | Request PDF

Solution of the MMDP generates a single policy that maximizes the weighted performance over all models. This approach allows the decision maker to explicitly ...

Markov Decision Process (MDP) - 5 Minutes with Cyrill - YouTube

Markov Decision Processes or MDPs explained in 5 minutes Series: 5 Minutes with Cyrill Cyrill Stachniss, 2023 Credits: Video by Cyrill ...

markov chains and markov decision processes

MDPs are built upon the Markov chain, a stochastic model describing a sequence of events where the probability of each event depends only on the previous event.

On the Distributivity of Multi-agent Markov Decision Processes ... - HAL

Markov Decision Process (MDP) frameworks represent powerful tools to model control possibilities over systems evolving under uncertainty. Such ...

Markov Decision Process in Reinforcement Learning - neptune.ai

A Markov Decision Process (MDP) is used to model decisions that can have both probabilistic and deterministic rewards and punishments. MDPs have ...

Decomposition methods for solving Markov decision processes with ...

In Section 3, we intro- duce the multi-model Markov decision process (MMDP), state the Weighted Value Problem (WVP), and present other multi ...

Achieving Fairness in Multi-Agent Markov Decision Processes Using ...

Many multi-agent dynamical interactions can be cast as Markov Decision Processes (MDPs). While existing research has focused on studying ...

An Introduction to Markov Decision Processes - Rice University

A Markov Decision Process (MDP) model contains: • A set of possible world states S. • A set of possible actions A. • A real valued reward function R(s,a).

Multi-objective Model Checking of Markov Decision Processes

We study and provide efficient algorithms for multi-objective model checking problems for Markov Decision Processes (MDPs). Given an MDP, M, and given ...

Policy-based branch-and-bound for infinite-horizon Multi-model ...

Markov decision processes (MDPs) are models for sequential decision-making that inform decision making in many fields, including healthcare, manufacturing, and ...