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What is Markov Decision

Demystifying Federated Learning for Blockchain and Industrial Internet of Things
Markov decision process (MDP) is a discrete-time stochastic control process.
Published in Chapter:
Protect Nature and Reduce the Carbon Footprint With an Application of Blockchain for IIoT
Pawan Whig (Vivekananda Institute of Professional Studies-Technical Campus, India), Arun Velu (Equifax, USA), and Ashima Bhatnagar Bhatia (Vivekananda Institute of Professional Studies, India)
DOI: 10.4018/978-1-6684-3733-9.ch007
Abstract
The cumulative amount of greenhouse gases that are shaped by our actions is a carbon footmark. In the US, the total carbon footmark of a humanoid is 16 tonnes, one of the largest amounts in the world. The average is closer to 4 tonnes worldwide. The average universal carbon footmark per year requirements is to drop below 3 tonnes by 2050 to have the utmost chance of stopping a 2°C point rise in worldwide temperature. Rahul et al. already predicted that the carbon footprint reduced by 17% with the use of IoT-enabled services. In this research study a novel approach to reduce carbon footprint using IoT with reinforcement AI learning is presented, which further reduced carbon footprint by 5% when using and nearly 7% when it is done using Q-Learning. The detailed findings are included to demonstrate the result.
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