Fall 2026 · Working textbook draft

Learning-Based Control for Mobility Systems

Approximate Dynamic Programming, Reinforcement Learning, and Online Lookahead

Kyunghwan Choi · Korea Advanced Institute of Science and Technology

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Current public draft

This evolving manuscript connects exact and approximate dynamic programming, modern reinforcement learning, and execution-time lookahead for mobility systems. Chapters 2–6 are substantive drafts; Chapters 1 and 7–11 currently retain structural placeholders.

Version0.6.2-draft
Released16 July 2026
Length165 pages

Citation

Please cite a tagged release when referring to fixed content or pagination. This draft does not yet have a DOI.

Choi, Kyunghwan. Learning-Based Control for Mobility Systems:
Approximate Dynamic Programming, Reinforcement Learning, and Online Lookahead.
Working draft 0.6.2-draft, 2026.

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Draft and rights notice

Content, notation, coverage, and pagination may change. Copyright © 2026 Kyunghwan Choi. All rights reserved. Public access does not grant an open-content license.