Results 61 to 70 of about 6,497 (242)

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription

Frontiers in Neurorobotics, 2018
Reinforcement learning (RL) aims at building a policy that maximizes a task-related reward within a given domain. When the domain is known, i.e., when its states, actions and reward are defined, Markov Decision Processes (MDPs) provide a convenient ...
Stephane Doncieux, David Filliat, Natalia Díaz-Rodríguez, Timothy Hospedales, Richard Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud   +9 more
doaj   +1 more source

On the importance of including both sexes in animal studies – insights from home‐cage monitoring

Biological Reviews, EarlyView.
ABSTRACT A review of behavioural studies using home‐cage monitoring (HCM) systems revealed that over 61% of studies used only male subjects, with only 24% including both sexes, despite evidence of substantial behavioural differences between male and female animals. This bias could influence the outcomes of biomedical research.
Maša Čater, Adam Dušek, Aleksandra Bartelik, Silvia Mandillo, Elisabetta Golini, Mara Rigamonti, Rasneer Sonia Bains, Hamish Forrest, Marion Rivalan, Melissa Long, Anna Kiryk, Lars Lewejohann, Nuno Henrique Franco   +12 more
wiley   +1 more source

Deep Reinforcement Learning-Based Intelligent Control for Efficiency Enhancement in Thermal Power Plant Fuel Management

EAI Endorsed Transactions on Energy Web
Thermal power plants remain a significant component of global power generation; however, several limitations persist. Hence, this research work has been developed on the basis of a proposed intelligent fuel management system based on Deep Reinforcement ...
Rui Zhu, Qiang Liu, Guofeng Li, Xufeng Hong, Zhenlu Tian, Yanjun Guo, Shengju Hao   +6 more
doaj   +1 more source

ESG Controversies in Global Firms: A Black Mark?

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite increasing attention paid by companies to sustainability, there is still evidence of environmental, social and governance (commonly referred to as ESG) scandals. As research on this topic is scant, this paper aims to analyse the impact of ESG controversies on firms' sustainability practices, that is, ESG policies, as well as ...
Beatrice Bais, Guido Orzes, Marco Sartor
wiley   +1 more source

Planning Under Uncertainty Applications in Power Plants Using Factored Markov Decision Processes

Energies, 2020
Due to its ability to deal with non-determinism and partial observability, represent goals as an immediate reward function and find optimal solutions, planning under uncertainty using factored Markov Decision Processes (FMDPs) has increased its ...
Alberto Reyes, L. Enrique Sucar, Pablo H. Ibargüengoytia, Eduardo F. Morales   +3 more
doaj   +1 more source

Orchestrating Ecosystem Resources for Sustainability: Coopetition, Digital Transformation, and Disruptive Sustainable Innovation

Business Strategy and the Environment, EarlyView.
ABSTRACT As sustainability transitions accelerate, firms increasingly engage in innovation ecosystems to pursue disruptive sustainable innovation (DSI). Nevertheless, empirical understanding regarding how innovation ecosystem coopetition—simultaneous cooperation and competition among interdependent actors—translates into sustainability‐oriented ...
Jin‐Sup Jung, Min‐Jae Lee
wiley   +1 more source

Cooperative Digital Healthcare Task Scheduling and Resource Management in Edge Intelligence Systems

Tsinghua Science and Technology
The rapid growth of digital healthcare applications has led to an increasing demand for efficient and reliable task scheduling and resource management in edge computing environments.
Xing Liu, Jianhui Lv, Byung-Gyu Kim, Keqin Li, Hongkai Jin, Wei Gao, Jiayuan Bai   +6 more
doaj   +1 more source

Multi-Agent Deep Reinforcement Learning for Anti-Aircraft Artillery Systems in Counter-UAV Operations [PDF]

Hangkong bingqi
To address the issues of low engagement efficiency and insufficient adaptability in current coun-ter unmanned aerial vehicle (UAV) artillery systems, this paper proposes a situational-fused hierarchical multi-objective multi-agent reinforcement learning ...
Hu Jiawei, Dai Changhua, Qi Wanlong, Chen Zhiheng, Wang Zhen, Fan Bohao, Zheng Xinlei, Tang Jie
doaj   +1 more source

Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions

Canadian Journal of Statistics, EarlyView.
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni, Luca Merlo, Lea Petrella   +2 more
wiley   +1 more source

Mode Selection and Resource Allocation in Device-to-Device Communications With User Arrivals and Departures

IEEE Access, 2016
The pervasive increasing mobile devices and explosively increasing data traffic pose imminent challenges on wireless network design. Device-to-device (D2D) communication is envisioned to play a key role in the fifth generation cellular networks to ...
Lei Lei, Qingyun Hao, Zhangdui Zhong
doaj   +1 more source