SYNC: add inventory_q.md from lecture-python.myst - #19
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Mirrors lectures/inventory_q.md from QuantEcon/lecture-python.myst at upstream commit d825b9236 (#830, optimistic initialization update; originally added in #827). File is not yet wired into _toc.yml, so it will not build until the TOC PR for #4 lands. Preparation step for the new "Markov Decision Processes" section proposed in #4. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Pull request overview
This PR adds a new lecture page, lectures/inventory_q.md, introducing an inventory management model solved via dynamic programming and then via Q-learning, as part of the planned new Markov Decision Processes section.
Changes:
- Adds the new MyST/Jupytext-synced lecture
inventory_q.md. - Implements VFI and Q-learning code examples (Numba-accelerated) and accompanying figures/text.
- Introduces new cross-references/citations that will need to resolve cleanly once the page is included in the TOC.
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Adds the missing BibTeX entry for the {cite} reference on line 180 of inventory_q.md (flagged by Copilot review on this PR). Entry copied verbatim from QuantEcon/lecture-python.myst/lectures/_static/quant-econ.bib so the citation resolves once the file enters the build via the upcoming TOC PR for #4.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
mmcky
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Mirrors lectures/rs_inventory_q.md from QuantEcon/lecture-python.myst at upstream commit 78030a3a2 (latest commit touching this file, via PR QuantEcon/lecture-python.myst#859). File contains 10 {doc} references to inventory_q (added in #19) and no {cite} keys. Not yet wired into _toc.yml; activated by the TOC PR for #4. Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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This was referenced Jun 3, 2026
mmcky
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Jun 21, 2026
Implements the lecture reorder agreed in #4: - Removes discrete_dp from Introduction (Introduction now contains only short_path). - Removes mccall_q from Job Search (now 8 lectures). - Adds a new "Markov Decision Processes" section between Income Fluctuation Problems and LQ Control, containing discrete_dp, inventory_q, rs_inventory_q, mccall_q. discrete_dp is the theoretical foundation (MDP setup) that the Q-learning lectures build on, so they sit together; this also fixes the difficulty curve in Introduction (per @jstac's note that discrete_dp was much more advanced than the lectures that followed). Files inventory_q.md and rs_inventory_q.md were added to the repo in #19 and #20 respectively but were not yet wired into the build (only_build_toc_files: true); this commit activates them. Closes #4 Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
lectures/inventory_q.md, mirrored fromQuantEcon/lecture-python.mystat upstream commit 78030a3a2 (latest commit touching this file, via PR Add lectures on Kihlstrom's paper, Ross Recovery Theorem and update lectures in probability theory lecture-python.myst#859; originally introduced in #827, with later updates in #830 and #859).discrete_dpwith the upstream Q-learning lectures._toc.yml—only_build_toc_files: truemeans it will not build until the TOC PR lands. This is intentional so the three PRs can land sequentially.Follow-ups
rs_inventory_q.md(depends on this file existing, since it{doc}-referencesinventory_q).lecture-python.mystmapping from 25 → 27 files.Test plan
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