Daan Wierstra

Email:daanwierstra (at) gmail (dot) com

Research Description

    My research has focused on reinforcement learning in non-Markovian environments, long-term dependency sequence processing using internal state, and the application thereof to robotics. My interests include spiking neuron models, genetic algorithms and the theoretical properties of evolution strategies, policy gradient based learning methods, and, ultimately, proper, well-founded research into artificial general intelligence.


Master's Thesis