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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Released teaching units

This evolving manuscript connects exact and approximate dynamic programming, modern reinforcement learning, and execution-time lookahead for mobility systems. Reviewed units are released as separate PDFs as they are taught.

Chapter 1

From Mobility Systems to Learning-Based Control

Complete chapter · 27 pages · 31 August 2026

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Chapter 2 · Part I

Exact and Approximate Dynamic Programming

Sections 2.1–2.5 · 30 pages · 7 September 2026

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Chapter 2 · Part II

Exact and Approximate Dynamic Programming

Sections 2.6–2.11 · 31 pages · 12 September 2026

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Chapter 3

Parametric Approximation

Complete chapter · 30 pages · 21 September 2026

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Public draft status

Collection0.10.0-draft
Updated21 September 2026
CoverageChapters 1–3

Citation

When referring to fixed content or pagination, cite the versioned teaching-unit PDF. Tagged GitHub Releases may be used for archived snapshots. 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 0.10.0-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.