Commit de6af5e
Update two lectures on affine asset pricing models (#834)
* update lecture
* updates
* updates
* updates
* Tom's light edits of affine lecture
* updates
* updates
* updates
* update
* update
* updates
* update lrp lecture
* updates
* updates
* minor fix
* updates
* Add optimistic initialization to Q-learning lecture (#830)
* Add optimistic initialization to Q-learning lecture
Initialize Q-table to 20 (above true value range of 13-18) instead of
zeros, which drives broader exploration via "optimism in the face of
uncertainty". This speeds convergence enough to reduce the training run
from 20M to 5M steps. Added a new subsection explaining the technique.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Add optimistic initialization to risk-sensitive Q-learning lecture
Initialize Q-table to 1e-5 (below true Q-value range of ~1e-5 to 1e-4)
instead of ones. Since the optimal policy minimizes q, optimistic means
initializing below the truth — the reverse of the risk-neutral case.
This speeds convergence enough to reduce training from 20M to 5M steps.
Added a subsection explaining the reversed optimistic init logic.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Add \EE macro to MathJax config
* Restore profit to observation list; fix risk-sensitive optimistic init value and narrative
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Matt McKay <mmcky@users.noreply.github.com>
* Tom's March 16 edits of Backus lecture lecture
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Co-authored-by: thomassargent30 <ts43@nyu.edu>
Co-authored-by: John Stachurski <john.stachurski@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Matt McKay <mmcky@users.noreply.github.com>1 parent e5dd8b9 commit de6af5e
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