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Found 4 papers, 1 papers with code
Curricular Subgoals for Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) aims to reconstruct the reward function from expert demonstrations to facilitate policy learning, and has demonstrated its remarkable success in imitation learning.
Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent.
Recommending investors for new startups by integrating network diffusion and investors' domain preference
Over the past decade, many startups have sprung up, which create a huge demand for financial support from venture investors.
Neural network state estimation for full quantum state tomography
An efficient state estimation model, neural network estimation (NNE), empowered by machine learning techniques, is presented for full quantum state tomography (FQST).
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