1 code implementation • 21 Feb 2023 • Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
While the Bayesian decision-theoretic framework offers an elegant solution to the problem of decision making under uncertainty, one question is how to appropriately select the prior distribution.
no code implementations • NeurIPS Workshop ICBINB 2020 • Hannes Eriksson, Emilio Jorge, Christos Dimitrakakis, Debabrota Basu, Divya Grover
Bayesian reinforcement learning (BRL) offers a decision-theoretic solution for reinforcement learning.
no code implementations • 13 May 2019 • Arman Rahbar, Emilio Jorge, Devdatt Dubhashi, Morteza Haghir Chehreghani
The approximated representations induced by these kernels are fed to the neural network and the optimization and generalization properties of the final model are evaluated and compared.
1 code implementation • 10 Nov 2016 • Emilio Jorge, Mikael Kågebäck, Fredrik D. Johansson, Emil Gustavsson
The images from the game provide a non trivial environment for the agents to discuss and a natural grounding for the concepts they decide to encode in their communication.