Alberto Massidda

ML/DL Advocate - Sourcesense

Computer engineer with 10 years of experience, specialized in mission critical, high traffic flow, high available architectures and infrastructures, on Linux platforms, with a relevant experience in development and management of web and cloud services. He has served as Infrastructure Lead in 3 companies. Alberto has a variegated bundle of experience, that ranges from devops to machine learning, from the corporate banking to the mutable startup world.

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Systematic Chaos: training agents with Deep Reinforcement Learning

Moving robotic arms, playing games, driving cars and optimizing mathematical solutions: all of these have in common intelligent agents dealing with the world, a feat long thought to be exclusive prerogative of humans. Reinforcement Learning is the technology behind the new wave of AI driven agents that is reshaping the industry. Let’s dive head first into the underlying mechanics that pave the way for true autonomous agents.

Language: English

Level: Advanced

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