Webinar 
Virtual
August 6, 2025 - 11 AM ET/ 5 PM CET

From Rules to Rewards: The Role of Domain Knowledge in Rules Based AI and Reinforcement Learning

How do cars learn to drive? How do computers defeat world campions in games like Go and Poker? As actuaries, we most often interact with the supervised learning paradigm of machine learning and spend less time thinking about rules-based AI and reinforcement learning. Rules-based AI encodes domain expertise into intelligent systems, whereas reinforcement learning enables agents to discover optimal behaviors by interacting with their environment. This session of Akur8 Academy with Actuarial Data Scientists Josh Myers and Max Martinelli will dive into both approaches, highlights what is and isn't relevant for actuaries, and challenges us to utilize these methods to be more proactive and improve our decision making.

Featured speaker:

Josh Meyers, Actuarial Data Scientist at Akur8

Max Martinelli, Actuarial Data Scientist at Akur8

Register to the webinarLearn more about the event

Register

Our team will contact you with the event details.

By submitting this form, I agree to the terms of use and the privacy policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting your information.
All events

From Rules to Rewards: The Role of Domain Knowledge in Rules Based AI and Reinforcement Learning

How do cars learn to drive? How do computers defeat world campions in games like Go and Poker? As actuaries, we most often interact with the supervised learning paradigm of machine learning and spend less time thinking about rules-based AI and reinforcement learning. Rules-based AI encodes domain expertise into intelligent systems, whereas reinforcement learning enables agents to discover optimal behaviors by interacting with their environment. This session of Akur8 Academy with Actuarial Data Scientists Josh Myers and Max Martinelli will dive into both approaches, highlights what is and isn't relevant for actuaries, and challenges us to utilize these methods to be more proactive and improve our decision making.

Featured speaker(s):
Josh Meyers, Actuarial Data Scientist, Akur8
Max Martinelli, Actuarial Data Scientist, Akur8

Learn more about the speakers

Josh Meyers, Actuarial Data Scientist, Akur8
Akur8 logo

Josh Meyers

Actuarial Data Scientist at Akur8

Josh Meyers is an Actuarial Data Scientist at Akur8. In his role, Josh works with clients helping them use models to solve business problems and gain insights with Akur8's software. Prior to joining Akur8, Josh spent five years at The Hartford where he held various pricing and modeling roles. He graduated from Brigham Young University with Master of Science in Statistics, and is currently a Fellow of the Casualty Actuarial Society (CAS).

Max Martinelli portrait
Akur8 logo

Max Martinelli

Actuarial Data Scientist at Akur8

Max Martinelli joined Akur8 as an Actuarial Data Scientist in 2023. He works with clients to ensure they get the most out of Akur8's transparent machine learning software. This ranges from actuarial modeling advice to collaborating on how an insurer can get the most out of their data. Before this, Max worked in various actuarial and data science roles at Allstate for nearly 8 years. He has worked on auto, property and specialty lines with a broad scope of projects. These ranged from traditional actuarial indications to price optimization to cutting-edge high-fidelity telematics models. His work spanned from production grade models to rapid research models to further Allstate's pricing sophistication with extensive use of GLMs, GLMnets, GBMs and Bayesian GLMs.