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Benedikt Wille

2 accepted papers

2026

The Role of Target Update Frequencies in Q-Learning

ICML 2026poster

The target network update frequency (TUF) is a central stabilization mechanism in (deep) Q-learning. However, their selection remains poorly understood and is often treated merely as another tunable hyperparameter rather than as a principled design decision. This work provides a theoretical analysis…

Cited by 0SourceScholar
2025

ADDQ: Adaptive distributional double Q-learning

ICML 2025poster

Bias problems in the estimation of Q-values are a well-known obstacle that slows down convergence of Q-learning and actor-critic methods. One of the reasons of the success of modern RL algorithms is partially a direct or indirect overestimation reduction mechanism. We introduce an easy to implement…