3 papers
cs.LG2026
Ascent Conditions for Length-Normalized Single-Rollout Policy Updates
Levin David Schwab
Dividing each trajectory's score contribution by its realized length can change the direction of a reward-centered policy update. In a finite trajectory model, we derive an exact a…
q-fin.MF2026
Market Completeness and Optional Projections under Restricted Information
Levin David Schwab
In a finite discrete-time market, trading decisions may be predictable with respect to a filtration that does not adapt asset prices. The first fundamental theorem then characteriz…
cs.LG2026
Marginal Log-Likelihood Increments under Dirichlet-Smoothed Markov Estimation
Levin David Schwab
For a Dirichlet-smoothed transition model, the effect of adding one workflow trace to the training archive is an exact change in reference-weighted log likelihood. We derive that c…