3 papers
cs.CY2026
Large Language Models as Implicit Sociological Models: Reconstructing Voting Behaviour from Sociodemographic Profiles
Roman Neruda, Martin Bakoš, Josef Šlerka +3
Large language models (LLMs) trained on large-scale internet corpora encode extensive statistical regularities about social identities, attitudes, and political behaviour. This pap…
cs.LG2025
Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning
Matyáš Lorenc, Roman Neruda
In this paper, we experiment with novelty-based variants of OpenAI-ES, the NS-ES and NSR-ES algorithms, and evaluate their effectiveness in training complex, transformer-based arch…
cs.LG2025
Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning
Matyáš Lorenc, Roman Neruda
We explore the capability of evolution strategies to train an agent with a policy based on a transformer architecture in a reinforcement learning setting. We performed experiments…