Results 31 to 40 of about 946,507 (289)

Actor-Critic Reinforcement Learning for Control with Stability Guarantee

, 2020
Reinforcement Learning (RL) and its integration with deep learning have achieved impressive performance in various robotic control tasks, ranging from motion planning and navigation to end-to-end visual manipulation.
Han, Minghao, Pan, Wei, Wang, Jun, Zhang, Lixian   +3 more
core   +2 more sources

Hopf Bifurcation and Chaos in Tabu Learning Neuron Models [PDF]

, 2004
In this paper, we consider the nonlinear dynamical behaviors of some tabu leaning neuron models. We first consider a tabu learning single neuron model. By choosing the memory decay rate as a bifurcation parameter, we prove that Hopf bifurcation occurs in
CHUNGUANG LI, Gopalsamy K., GUANRONG CHEN, Hassard B. D., JUEBANG YU, Kurten K. E., XIAOFENG LIAO   +6 more
core   +2 more sources

Discovery of 2D Materials using Transformer Network‐Based Generative Design

Advanced Intelligent Systems, 2023
Two‐dimensional (2D) materials offer great potential in various fields like superconductivity, quantum systems, and topological materials. However, designing them systematically remains challenging due to the limited pool of fewer than 100 experimentally
Rongzhi Dong, Yuqi Song, Edirisuriya M. D. Siriwardane, Jianjun Hu   +3 more
doaj   +1 more source

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory

Advances in Neural Information Processing Systems 37
Generative Adversarial Imitation Learning (GAIL) trains a generative policy to mimic a demonstrator. It uses on-policy Reinforcement Learning (RL) to optimize a reward signal derived from a GAN-like discriminator. A major drawback of GAIL is its training instability - it inherits the complex training dynamics of GANs, and the distribution shift ...
Luo, Tianjiao, Pearce, Tim, Chen, Huayu, Chen, Jianfei, Zhu, Jun   +4 more
openaire   +2 more sources

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Differential Privacy in Federated Learning: An Evolutionary Game Analysis

Applied Sciences
This paper examines federated learning, a decentralized machine learning paradigm, focusing on privacy challenges. We introduce differential privacy mechanisms to protect privacy and quantify their impact on global model performance.
Zhengwei Ni, Qi Zhou
doaj   +1 more source

From synaptic interactions to collective dynamics in random neuronal networks models: critical role of eigenvectors and transient behavior [PDF]

, 2018
The study of neuronal interactions is currently at the center of several neuroscience big collaborative projects (including the Human Connectome, the Blue Brain, the Brainome, etc.) which attempt to obtain a detailed map of the entire brain matrix. Under
Chialvo, Dante R., Gudowska-Nowak, Ewa, Nowak, Maciej A., Ochab, Jeremi K., Tarnowski, Wojciech   +4 more
core   +2 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Lyapunov theory demonstrating a fundamental limit on the speed of systems consolidation

Physical Review Research
This article is part of the Physical Review Research collection titled Physics of Neuroscience. The nervous system reorganizes memories from an early site to a late site, a commonly observed feature of learning and memory systems known as systems ...
Alireza Alemi, Emre R. F. Aksay, Mark S. Goldman   +2 more
doaj   +1 more source