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Anna V. Kononova

2 papers indexed

openalexACM Transactions on Evolutionary Learning and Optimization2026-07-23

Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks

Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova

Although deep reinforcement learning methods can learn effective policies for challenging problems, the underlying algorithms are complex, and training times are often long. This study investigates how several state-of-the-art versions of Evolution Strategies perform compared to…

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arxivcs.AI2026-07-10

How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding

Debargha Ghosh, Silja Renooij, Anna V. Kononova

Bayesian causal discovery is widely used for its ability to quantify epistemic uncertainty over directed acyclic graphs (DAGs) through posterior inference. However, its behaviour under latent confounding remains poorly understood, as existing work typically notes that confounding…

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