Markov Decision Processes

A Hidden Markov Model of Customer Relationship Dynamics: DSA ADS Course - 2023

On 17 Apr, 2023 By admin 0 Comments

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world scenarios.

Discuss enabling marketers to dynamically segment their customer base and to examine methods by which the firm can alter long-term buying behavior.

Discuss dynamics of customer relationships using typical transaction data.

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Reinforcement Learning under Partial Observability Guided by Learned Environment Models

On 25 Jun, 2022 By admin 0 Comments

June, 2022

Abstract

In practical applications, we can rarely assume full observability of a system's environment, despite such knowledge being important for determining a reactive control system's precise interaction with its environment. Therefore, we propose an approach for reinforcement learning (RL) in partially observable environments. While assuming that the environment behaves like a partially observable Markov decision process with known discrete actions, we assume no knowledge about its structure or transition probabilities.

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