Sampling from known probability distributions is a ubiquitous task in
co...
Applications of normalizing flows to the sampling of field configuration...
Recent applications of machine-learned normalizing flows to sampling in
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This work presents gauge-equivariant architectures for flow-based sampli...
Biological intelligence is remarkable in its ability to produce complex
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Recent results suggest that flow-based algorithms may provide efficient
...
We present a machine-learning approach, based on normalizing flows, for
...
We are interested in the challenging problem of modelling densities on
R...
Algorithms based on normalizing flows are emerging as promising machine
...
This notebook tutorial demonstrates a method for sampling Boltzmann
dist...
Recent work in deep reinforcement learning (RL) has produced algorithms
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We develop a flow-based sampling algorithm for SU(N) lattice gauge theor...
We present a novel nonparametric algorithm for symmetry-based disentangl...
We define a class of machine-learned flow-based sampling algorithms for
...
Free energy perturbation (FEP) was proposed by Zwanzig more than six dec...
Normalizing flows are a powerful tool for building expressive distributi...
The Hamiltonian formalism plays a central role in classical and quantum
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This paper introduces equivariant hamiltonian flows, a method for learni...
Reinforcement learning algorithms use correlations between policies and
...
Deep learning is built on the foundational guarantee that gradient desce...
The field of reinforcement learning (RL) is facing increasingly challeng...
How can intelligent agents solve a diverse set of tasks in a data-effici...
Learning policies on data synthesized by models can in principle quench ...
The cornerstone underpinning deep learning is the guarantee that gradien...
A key challenge in model-based reinforcement learning (RL) is to synthes...
We introduce Imagination-Augmented Agents (I2As), a novel architecture f...
Conventional wisdom holds that model-based planning is a powerful approa...
Models that can simulate how environments change in response to actions ...