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Associations between inclusive community coalition leadership and use of evidence‐based practices

American Journal of Community Psychology, EarlyView.
Abstract Community coalitions have the potential to elicit diverse participants' perspectives on complex issues and generate shared commitment to adaptive strategies. Ideally, these approaches have been found effective elsewhere. Despite evidence that leadership plays a generally important role in coalitions, there have been limited prior findings ...
Rebecca Wells, Nalini Ranjit, Louis D. Brown, Sarah M. Chilenski, Yvonne Mary Gaddy   +4 more
wiley   +1 more source

HV-LIOM: Adaptive Hash-Voxel LiDAR-Inertial SLAM with Multi-Resolution Relocalization and Reinforcement Learning for Autonomous Exploration. [PDF]

Sensors (Basel)
Fan S, Chen X, Zhang W, Xu P, Zuo Z, Tan X, He X, Sheikder C, Guo M, Li C.   +9 more
europepmc   +1 more source

Towards AI-based precision rehabilitation via contextual model-based reinforcement learning. [PDF]

J Neuroeng Rehabil
Ye D, Luo H, Winstein C, Schweighofer N.
europepmc   +1 more source

High-dimensional continuous action space control via trust region optimized deep reinforcement learning. [PDF]

Sci Rep
Wang X.
europepmc   +1 more source

Competitive swarm reinforcement learning improves stability and performance of deep reinforcement learning. [PDF]

Sci Rep
Huang X, Luo W, Li L, Zhang H, Jiang H, Gao X.   +5 more
europepmc   +1 more source

Reward design and hyperparameter tuning for generalizable deep reinforcement learning agents in autonomous racing. [PDF]

Sci Rep
Kunda NSS, Kc P, Pandey M, Kumaar AAN.
europepmc   +1 more source

State-Dependent CNN-GRU Reinforcement Framework for Robust EEG-Based Sleep Stage Classification. [PDF]

Biomimetics (Basel)
Zakeri S, Makouei S, Danishvar S.
europepmc   +1 more source

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Visual Tracking via Hierarchical Deep Reinforcement Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Visual tracking has achieved great progress due to numerous different algorithms. However, deep trackers based on classification or Siamese network still have their specific limitations. In this work, we show how to teach machines to track a generic object in videos like humans, who can use a few search steps to perform tracking.
Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li   +3 more
openaire   +1 more source

Hierarchical Caching via Deep Reinforcement Learning

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Wireless and wireline networks, such as Internet, cellular, and content delivery networks are to serve end-user file requests proactively. To this aim, by storing anticipated highly popular files during off-peak periods, and fetching them to end-users during on-peak instances, these networks smoothen out the load fluctuations on the back-haul links. In
Alireza Sadeghi, Gang Wang, Georgios B. Giannakis   +2 more
openaire   +1 more source