Results 171 to 180 of about 5,721,941 (348)
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies [PDF]
Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu
openalex +1 more source
Sample-Efficient Imitation Learning via Generative Adversarial Nets [PDF]
Lionel Blondé, Alexandros Kalousis
openalex +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Imitation learning for improved 3D PET/MR attenuation correction. [PDF]
Kläser K +9 more
europepmc +1 more source
Online Optimal Power Scheduling of a Microgrid via Imitation Learning
Shuhua Gao +4 more
openalex +2 more sources
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
Lipschitzness is all you need to tame off-policy generative adversarial imitation learning. [PDF]
Blondé L, Strasser P, Kalousis A.
europepmc +1 more source
Imitation-Projected Programmatic Reinforcement Learning [PDF]
Abhinav Verma +3 more
openalex +1 more source
An active inference model of hierarchical action understanding, learning and imitation
Riccardo Proietti +2 more
openalex +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source

