Modelling collective motion based on the principle of agency

4 December 2017

Papers citing "Modelling collective motion based on the principle of agency"

8 / 8 papers shown

Title
Collective defense of honeybee colonies: experimental results and theoretical modeling Andrea López-Incera Morgane Nouvian K. Ried Thomas Müller Hans J. Briegel 40 19 0 14 Oct 2020
Development of swarm behavior in artificial learning agents that adapt to different foraging environments Andrea López-Incera K. Ried Thomas Müller Hans J. Briegel 24 13 0 01 Apr 2020
Operationally meaningful representations of physical systems in neural networks Hendrik Poulsen Nautrup Tony Metger Raban Iten Sofiene Jerbi Lea M. Trenkwalder H. Wilming Hans J. Briegel R. Renner AI4CE NAI 82 28 0 02 Jan 2020
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes Walter L. Boyajian Jens Clausen Lea M. Trenkwalder Vedran Dunjko Hans J. Briegel 81 14 0 25 Oct 2019
How a minimal learning agent can infer the existence of unobserved variables in a complex environment K. Ried B. Eva Thomas Müller Hans J. Briegel 70 15 0 15 Oct 2019
Photonic architecture for reinforcement learning Fulvio Flamini A. Hamann Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup Hans J. Briegel 88 29 0 17 Jul 2019
Machine learning and behavioral economics for personalized choice architecture Emir Hrnjic N. Tomczak CML AI4CE 64 8 0 03 Jul 2019
Benchmarking projective simulation in navigation problems A. Melnikov A. Makmal Hans J. Briegel 59 19 0 23 Apr 2018