Ludwig Danwitz

Publikationen

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)

Danwitz, Ludwig and Helversen, Bettina von, Observational Learning of Exploration-Exploitation Strategies in Bandit Tasks. Available at SSRN: https://ssrn.com/abstract=4732127 or http://dx.doi.org/10.2139/ssrn.4732127

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