Leif Döring

13 papers A* 3Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Approximate Ascent Approach To Prove Convergence of PPO.
CoRR
Leif Döring, Daniel Schmidt, Moritz Melcher, Sebastian Kassing, Benedikt Wille, Tilman Aach, Simon Weissmann
2026 J jnl
The Role of Target Update Frequencies in Q-Learning.
CoRR
Simon Weissmann, Tilman Aach, Benedikt Wille, Sebastian Kassing, Leif Döring
2025 J jnl
ADDQ: Adaptive Distributional Double Q-Learning.
CoRR
Leif Döring, Benedikt Wille, Maximilian Birr, Mihail Bîrsan, Martin Slowik
2025 A* conf
ADDQ: Adaptive distributional double Q-learning.
ICML
Leif Döring, Benedikt Wille, Maximilian Birr, Mihail Bîrsan, Martin Slowik
2025 J jnl
Almost Sure Convergence of Stochastic Gradient Methods under Gradient Domination.
Trans. Mach. Learn. Res.
Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring
2025 J jnl
Clustered KL-barycenter design for policy evaluation.
CoRR
Simon Weissmann, Till Freihaut, Claire Vernade, Giorgia Ramponi, Leif Döring
2024 J jnl
Almost sure convergence rates of stochastic gradient methods under gradient domination.
CoRR
Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring
2024 A* conf
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods.
ICLR
Sara Klein, Simon Weissmann, Leif Döring
2024 J jnl
Gradient Span Algorithms Make Predictable Progress in High Dimension.
CoRR
Felix Benning, Leif Döring
2024 A* conf
Random Function Descent.
NeurIPS
Felix Benning, Leif Döring
2024 J jnl
Structure Matters: Dynamic Policy Gradient.
CoRR
Sara Klein, Xiangyuan Zhang, Tamer Basar, Simon Weissmann, Leif Döring
2023 J jnl
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods.
CoRR
Sara Klein, Simon Weissmann, Leif Döring
2023 J jnl
Random Function Descent.
CoRR
Felix Benning, Leif Döring