2 papers
cs.NE2026
From Optimal Policies to Individual Differences: Rethinking Reinforcement Learning for Biology
Patrick Govoni, Palina Bartashevich, Clémence Bergerot +3
Reinforcement learning (RL) is primarily known as a computational method for optimizing control tasks, but it is increasingly used to explain biological behavior. While RL successf…
cs.CY2025
Experimental Evidence for the Propagation and Preservation of Machine Discoveries in Human Populations
Levin Brinkmann, Thomas F. Eisenmann, Anne-Marie Nussberger +4
Intelligent machines with superhuman capabilities have the potential to uncover problem-solving strategies beyond human discovery. Emerging evidence from competitive gameplay, such…