2k citations · 18.4k across the 171 of their papers we have counts for
6 papers · 1 filter
Disentanglement by means of action-induced representations
Gorka Muñoz-Gil, Hendrik Poulsen Nautrup, Arunava Majumder +4
Learning interpretable representations with variational autoencoders (VAEs) is a major goal of representation learning. The main challenge lies in obtaining disentangled representa…
Information Thermodynamics of Agents: The Work Capacity of Channels with Memory
Lukas J. Fiderer, Paul C. Barth, Isaac D. Smith +1
Predicting future observations plays a central role in machine learning, biology, economics, and many other fields. It lies at the heart of organizational principles such as the va…
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias
Philip A. LeMaitre, Marius Krumm, Hans J. Briegel
With the impressive progress of deep learning, applications relying on machine learning are increasingly being integrated into daily life. However, most deep learning models have a…
How a minimal learning agent can infer the existence of unobserved variables in a complex environment
Katja Ried, Benjamin Eva, Thomas Müller +1
According to a mainstream position in contemporary cognitive science and philosophy, the use of abstract compositional concepts is both a necessary and a sufficient condition for t…
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder +2
In recent years, the interest in leveraging quantum effects for enhancing machine learning tasks has significantly increased. Many algorithms speeding up supervised and unsupervise…
Benchmarking projective simulation in navigation problems
Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
Projective simulation (PS) is a model for intelligent agents with a deliberation capacity that is based on episodic memory. The model has been shown to provide a flexible framework…