Title
Stochastic Systems Divergence through Reinforcement Learning: How to use artificial intelligence to validate stochastic systems,Used
Delivery time: 8-12 business days (International)
Modelling reallife systems and phenomena using mathematical based formalisms is ubiquitous in science and engineering. The reason is that mathematics o?er a suitable framework to carry out formal and rigorous analysis of these systems. For instance, in software engineering, formal methods are among the most e?cient tools to identify ?aws in software. The behavior of many reallife systems is inherently stochastic which require stochastic models such as labelled Markov processes (LMPs), Markov decision processes (MDPs), predictive state representations (PSRs), etc. This thesis is about quantifying the di?erence between stochastic systems. The important point of the thesis is that reinforcement learning (RL), a branch of arti?cial intelligence particularly e?cient in presence of uncertainty, can be used to quantify e?ciently the divergence between stochastic systems. The key idea is to de?ne an MDP out of the systems to be compared and then to interpret the optimal value of the MDP as the divergence between them. The most appealing feature of the proposed approach is that it does not rely on the knowledge of the internal structure of the systems.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.