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03/10/2023
Optimal foraging strategies can be learned and outperform Lévy walks
Lévy walks and other theoretical models of optimal foraging have been su...
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01/31/2023
Reinforcement learning and decision making via single-photon quantum walks
Variational quantum algorithms represent a promising approach to quantum...
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12/24/2022
Automated Gadget Discovery in Science
In recent years, reinforcement learning (RL) has become increasingly suc...
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10/25/2021
Quantum machine learning beyond kernel methods
With noisy intermediate-scale quantum computers showing great promise fo...
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03/09/2021
Variational quantum policies for reinforcement learning
Variational quantum circuits have recently gained popularity as quantum ...
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10/14/2020
Collective defense of honeybee colonies: experimental results and theoretical modeling
Social insect colonies routinely face large vertebrate predators, agains...
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04/01/2020
Development of swarm behavior in artificial learning agents that adapt to different foraging environments
Collective behavior, and swarm formation in particular, has been studied...
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01/02/2020
Operationally meaningful representations of physical systems in neural networks
To make progress in science, we often build abstract representations of ...
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10/28/2019
A framework for deep energy-based reinforcement learning with quantum speed-up
In the past decade, deep learning methods have seen tremendous success i...
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10/25/2019
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
In recent years, the interest in leveraging quantum effects for enhancin...
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10/15/2019
How a minimal learning agent can infer the existence of unobserved variables in a complex environment
According to a mainstream position in contemporary cognitive science and...
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07/17/2019
Photonic architecture for reinforcement learning
The last decade has seen an unprecedented growth in artificial intellige...
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04/24/2019
Machine learning for long-distance quantum communication
Machine learning can help us in solving problems in the context big data...
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12/20/2018
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Quantum error correction is widely thought to be the key to fault-tolera...
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04/23/2018
Benchmarking projective simulation in navigation problems
Projective simulation (PS) is a model for intelligent agents with a deli...
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12/04/2017
Modelling collective motion based on the principle of agency
Collective motion is an intriguing phenomenon, especially considering th...
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09/08/2017
Machine learning & artificial intelligence in the quantum domain
Quantum information technologies, and intelligent learning systems, are ...
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09/05/2017
Speeding-up the decision making of a learning agent using an ion trap quantum processor
We report a proof-of-principle experimental demonstration of the quantum...
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06/02/2017
Active learning machine learns to create new quantum experiments
How useful can machine learning be in a quantum laboratory? Here we rais...
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10/26/2016
Quantum-enhanced machine learning
The emerging field of quantum machine learning has the potential to subs...
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02/25/2016
Meta-learning within Projective Simulation
Learning models of artificial intelligence can nowadays perform very wel...
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01/27/2016
Quantum machine learning with glow for episodic tasks and decision games
We consider a general class of models, where a reinforcement learning (R...
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07/30/2015
Framework for learning agents in quantum environments
In this paper we provide a broad framework for describing learning agent...
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04/09/2015
Projective simulation with generalization
The ability to generalize is an important feature of any intelligent age...
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03/04/2015
Sequential quantum mixing for slowly evolving sequences of Markov chains
In this work we consider the problem of preparation of the stationary di...
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05/21/2014
Projective simulation applied to the grid-world and the mountain-car problem
We study the model of projective simulation (PS) which is a novel approa...
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05/07/2013
