Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods. - Sara Klein; Simon Weissmann; Leif Döring (ICLR, 2024)

Random Function Descent. - Felix Benning; Leif Döring (NeurIPS, 2024)

Almost sure convergence rates of stochastic gradient methods under gradient domination. - Simon Weissmann; Sara Klein; Waïss Azizian; Leif Döring (CoRR, 2024)

Gradient Span Algorithms Make Predictable Progress in High Dimension. - Felix Benning; Leif Döring (CoRR, 2024)

Structure Matters: Dynamic Policy Gradient. - Sara Klein; Xiangyuan Zhang; Tamer Basar; Simon Weissmann; Leif Döring (CoRR, 2024)

Almost Sure Convergence of Stochastic Gradient Methods under Gradient Domination. - Simon Weissmann; Sara Klein; Waïss Azizian; Leif Döring (Trans. Mach. Learn. Res., 2025)

Clustered KL-barycenter design for policy evaluation. - Simon Weissmann; Till Freihaut; Claire Vernade; Giorgia Ramponi; Leif Döring (CoRR, 2025)

ADDQ: Adaptive Distributional Double Q-Learning. - Leif Döring; Benedikt Wille; Maximilian Birr; Mihail Bîrsan; Martin Slowik (CoRR, 2025)