Information for inverse reinforcement learning

Basic information

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Overview

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Assumptions the agenda makes

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Documents

Title Publication date Author Publisher Affected organizations Affected people Affected agendas Notes
AI Alignment Podcast: An Overview of Technical AI Alignment with Rohin Shah (Part 2) 2019-04-25 Lucas Perry Future of Life Institute Rohin Shah, Dylan Hadfield-Menell, Gillian Hadfield Embedded agency, Cooperative inverse reinforcement learning, inverse reinforcement learning, deep reinforcement learning from human preferences, recursive reward modeling, iterated amplification Part two of a podcast episode that goes into detail about some technical approaches to AI alignment.
Scalable agent alignment via reward modeling: a research direction 2018-11-19 Jan Leike, David Krueger, Tom Everitt, Miljan Martic, Vishal Maini, Shane Legg arXiv Google DeepMind Recursive reward modeling, Imitation learning, inverse reinforcement learning, Cooperative inverse reinforcement learning, myopic reinforcement learning, iterated amplification, debate This paper introduces the (recursive) reward modeling agenda, discussing its basic outline, challenges, and ways to overcome those challenges. The paper also discusses alternative agendas and their relation to reward modeling.