Results 221 to 230 of about 5,619,500 (318)
Behavior Acquisition by Multi-Layered Reinforcement Learning.
Yasutake Takahashi, Minoru Asada
openalex +2 more sources
Rapid solidification in laser additive manufacturing facilitates the precipitation of metastable phases in aluminum alloys. These metastable phases significantly enhance the strength by forming a high‐volume fraction of precipitates with an order of magnitude reduced sizes and smaller interspacing, effectively impeding dislocation motion. Consequestly,
S. Mohadeseh Taheri‐Mousavi +10 more
wiley +1 more source
Heterogeneity, reinforcement learning, and chaos in population games. [PDF]
Bielawski J +4 more
europepmc +1 more source
VQQL. Applying Vector Quantization to Reinforcement Learning
Fernando Fernández, Daniel Borrajo
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This review examines hydrogel‐based technologies driven by environmental stimuli and emphasizes their unique contributions to energy conversion. It provides insights into design strategies and recent advancements in functional hydrogels, highlighting opportunities and challenges in this field.
Wanheng Lu +5 more
wiley +1 more source
An ideal implant should mimic native tissues such that it can integrate, sense, heal, and continue to function, i.e., be autonomous. Although early, there are good steps taken in this way, e.g., the development of stimuli‐responsive, self‐powering, self‐actuating, self‐healing, self‐regenerating, and self‐aware implants.
Jagan Mohan Dodda +5 more
wiley +1 more source
Optimizing metachronal paddling with reinforcement learning at low Reynolds number. [PDF]
Bailey AA, Guy RD.
europepmc +1 more source
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 +3 more
wiley +1 more source
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning. [PDF]
Guo D +193 more
europepmc +1 more source
Boosting Mechanoluminescence Performance in Doped CaZnOS by the Facile Self‐Reduction Approach
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 +11 more
wiley +1 more source

