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Sebastian Peitz

2 accepted papers

2026

Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control

ICML 2026poster

Reinforcement learning (RL) has shown promising results in active flow control (AFC), yet progress in the field remains difficult to assess as existing studies rely on heterogeneous observation and actuation schemes, numerical setups, and evaluation protocols. Current AFC benchmarks attempt to addre…

Cited by 0SourceScholar
2026

SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion

ICLR 2026poster

Developing efficient multi-objective optimization methods to compute the Pareto set of optimal compromises between conflicting objectives remains a key challenge, especially for large-scale and expensive problems. To bridge this gap, we introduce SPREAD, a generative framework based on Denoising Dif…

Cited by 0SourcecodeScholar