Results 201 to 210 of about 57,740 (314)

Shunting Trains with Deep Reinforcement Learning [PDF]

, 2018
Evertjan Peer, Vlado Menkovski, Yingqian Zhang, Wan-Jui Lee   +3 more
openalex   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Intelligent low carbon reinforced concrete beam design optimization via deep reinforcement learning. [PDF]

Sci Rep
Hosseinzadeh A, Dehestani M.
europepmc   +1 more source

A Study of Qualitative Knowledge-Based Exploration for Continuous Deep Reinforcement Learning

, 2017
Chenxi Li, Lei Cao, Xiaoming Liu, Xiliang Chen, Zhixiong Xu, Yongliang Zhang   +5 more
openalex   +2 more sources

Risks of Deep Reinforcement Learning Applied to Fall Prevention Assist by Autonomous Mobile Robots in the Hospital [PDF]

, 2018
Takaaki NAMBA, Yoji Yamada
openalex   +1 more source

Boosting Mechanoluminescence Performance in Doped CaZnOS by the Facile Self‐Reduction Approach

Advanced Materials, EarlyView.
Self‐reduction primarily enhances mechanoluminescence intensity by deliberately introducing lattice defects, which increase structural distortion and amplify the piezoelectric response, thereby improving the force‐to‐light conversion efficiency. Additionally, self‐reduction optimizes the local distribution of Mn2+ ions, promoting energy concentration ...
Shengbin Xu, Yao Xiao, Puxian Xiong, Pan Zheng, Sheng Wu, Xuesong Wang, Yumin Yin, Haiqiang Fang, Chengan Wang, Yuexi Lu, Enhai Song, Jiulin Gan   +11 more
wiley   +1 more source

Simulation of personalized english learning path recommendation system based on knowledge graph and deep reinforcement learning. [PDF]

Sci Rep
Zhou LY, Wang YY.
europepmc   +1 more source

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

, 2017
Aravind Rajeswaran, Vikas Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, Sergey Levine   +6 more
openalex   +2 more sources

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning [PDF]

, 2018
Anusha Nagabandi, Gregory Kahn, Ronald S. Fearing, Sergey Levine   +3 more
openalex   +1 more source

Knowledge transfer in deep reinforcement learning

, 2018
El auge del aprendizaje automático como método para generar una Inteligencia Ar- tificial (IA), está generando un campo de investigación en el que se están poniendo en práctica varios conceptos ya formulados en los años 40 y 60 y, que antaño, eran imposibles de realizar debido a las implicaciones tecnológicas que eran necesarias. Hoy en día, se dispone
openaire   +1 more source