Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes

## Computer Science > Artificial Intelligence

## Computer Science > Artificial Intelligence ## Title:Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes > Abstract:Emphatic temporal-difference learning (ETD) stabilizes the expected off-policy TD update and changes its projection geometry, but neither property determines constant-stepsize sampled dynamics. We construct an ergodic two-state counterexample in which the ETD mean map contracts while the sampled product has a positive top Lyapunov exponent. Regenerative-cycle analysis separates this sign from the infinite variance of the follow-on trace. We…

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Источник: ArXiv cs.AI

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