Ludwig Danwitz

Publikationen

2025

Danwitz, L., & von Helversen, B. (2025). Observational learning of exploration-exploitation strategies in bandit tasks. Cognition, 259, 106124. https://doi.org/10.1016/j.cognition.2025.106124

2024

Danwitz, L., Hosch, A.-K., Hornuf, L. & von Helversen, B. (2024). Framing the Exploration-Exploitation Trade-Off: Distinguishing Between Minimizing Losses and Maximizing Gains. In Proceedings of the Annual Meeting of the Cognitive Science Society. (Vol. 46)

2022

Bao, Yongping and Danwitz, Ludwig and Dvorak, Fabian and Fehrler, Sebastian and Hornuf, Lars and Lin, Hsuan Yu and von Helversen, Bettina. Similarity and Consistency in Algorithm-Guided Exploration (2022). CESifo Working Paper No. 10188, Available at SSRN: https://ssrn.com/abstract=4324211

Danwitz, L., Mathar, D., Smith, E. et al. Parameter and Model Recovery of Reinforcement Learning Models for Restless Bandit Problems. Comput Brain Behav (2022). https://doi.org/10.1007/s42113-022-00139-0