Researcher Profile

Miljan Martic

Practical RL from human feedback

Co-author, RL from Human Preferences

Co-authored Deep RL from Human Preferences: an early anchor for RLHF-style post-training.

Topics

Post-Training & Alignment Reinforcement Learning

About This Page

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Last updated

March 20, 2026

Best First Clicks

Deep Reinforcement Learning from Human Preferencespaper

Known For

The ideas, systems, and research directions that make this person worth knowing.

Practical RL from human feedback

Deep Reinforcement Learning from Human Preferences

RLHF

Alignment

Start Here

Canonical papers, project pages, or repositories that anchor this profile.

Deep Reinforcement Learning from Human Preferencespaper

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Shane Legg

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Tom B. Brown

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Paul Christiano

Alignment theory, reward modeling

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A foundational thinker in oversight, reward modeling, and delegation-style alignment ideas that influenced much of the modern post-training conversation.

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Shared topics

Neel Nanda

Training helpful, harmless assistants via RLHF

1 source

Co-authored an early RLHF recipe for helpful + harmless assistants.

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Shared topics

Dario Amodei

Alignment, post-training, frontier LLMs

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A high-signal figure for understanding the frontier model era because his work sits at the intersection of scaling, post-training, and deployment-risk framing.

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Amanda Askell

Alignment, behavior shaping, safety

3 sources

A high-signal researcher for understanding how post-training and behavioral steering become concrete product behavior rather than abstract alignment talk.

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