‘Learning not to Learn’ Accepted @AAAI2022 🚀


My very first first author ML conference paper has been accepted at AAAI 2022 🎉! In ‘Learning not to learn: Nature versus Nurture in Silico’ we investigate the interplay of ecological uncertainty, task complexity and the agents’ lifetime and its effects on the meta-learned amortized Bayesian inference performed by an agent. There exist two regimes: One in which meta-learning yields a learning algorithm that implements task-dependent information-integration and a second regime in which meta-learning imprints a heuristic or ’hard-coded’ behavior:

Check out the tweeprint here!

P.S.: Stay tuned for an updated paper version and the release of the open source code.