rewards

Jointly learning rewards and policies: an iterative Inverse Reinforcement Learning framework with ranked synthetic trajectories

2.1 Apprenticeship Learning:A seminal method to learn from expert demonstrations is Apprenticeship learning, first introduced in . Unlike pure Inverse Reinforcement Learning, the target here is to each to search out the optimal reward...

AI in Higher Education – Balancing the Risks and Rewards

A good portion of the discussion around generative AI tools has focused on the challenges related to academic integrity and AI plagiarism. Cheating has dominated the discourse.Consequently, many administrators and instructors’ primary focus has...

VCs Elad Gil and Sarah Guo on the risks and rewards of funding AI: “The most important threat to us within the short run...

Last week, at our first StrictlyVC evening of the 12 months, outstanding AI investors Elad Gil and Sarah Guo joined us in San Francisco to speak about how they give thought to AI investing...

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