Generalised Bellman recurrence and three dualities in sequential decision-making
- URL: http://arxiv.org/abs/2607.18077v1
- Date: Mon, 20 Jul 2026 15:46:19 GMT
- Title: Generalised Bellman recurrence and three dualities in sequential decision-making
- Abstract summary: We show that the Bellman equation arises from three conditions.<n>The same conditions give rise to three dualities: one between probability and return, one between return and aggregation, and one between aggregation and probability.<n>Our framework reveals these dualities as arising from a single construction, unifying methods developed separately across reinforcement learning, control, and decision theory.
- Score: 40.8583449341828
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: What gives the Bellman equation its form? We show that the recursive properties of optimal value functions follow from three conditions: that the dynamics decomposes through sufficient statistics, that the return decomposes recursively, and that the aggregation of uncertainty is compatible with both. When all three conditions hold on a common state, the Bellman equation arises from their mutual consistency; when one fails, tractability can often be recovered by augmenting the state or by deforming return or dynamics. The same conditions are shown to give rise to three dualities: one between probability and return, one between return and aggregation, and one between aggregation and probability. Our framework reveals these dualities as arising from a single construction, unifying methods developed separately across reinforcement learning, control, and decision theory.
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