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.
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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.
Learn more about the speakers
Josh Meyers
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
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.
