As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range of tasks, including document understanding, information retrieval and peer-reviewer assignment.
However, in continuous action spaces, integrating entropy regularization with expressive policies is challenging and usually requires complex inference procedures.
A novel intelligent bandwidth allocation scheme in NG-EPON using reinforcement learning is proposed and demonstrated for latency management.
Some content of the article needs to be kept secret
Blurring the boundary between bosons and fermions lies at the heart of a wide range of intriguing quantum phenomena in multiple disciplines, ranging from condensed matter physics and atomic, molecular and optical physics to high energy physics.
Quantum Gases Other Condensed Matter Quantum Physics
In this paper, We propose a Policy Optimization method with Model-Based Uncertainty (POMBU)---a novel model-based approach---that can effectively improve the asymptotic performance using the uncertainty in Q-values.
The latent vector preserves personalized face features and the age controls facial aging and rejuvenation.
Ranked #1 on Age Estimation on MORPH