Results 211 to 220 of about 5,619,500 (318)

LLMs augmented hierarchical reinforcement learning with action primitives for long-horizon manipulation tasks. [PDF]

Sci Rep
Zhang N, Zhao Y, Yang M, Dai S.
europepmc   +1 more source

Behavior Acquisition of an Autonomous Robot by Reinforcement Learning Based on Globally Coupled Chaotic System. 1st Report. Empirical Examination of Credit Assignment and Generalization.

, 1997
Yoichiro NAKAMURA, Kazuhiro Ohkura, Kanji Ueda   +2 more
openalex   +2 more sources

Biological and Biologically Inspired Functional Nanostructures: Insights into Structural, Optical, Thermal, and Sensing Applications

Advanced Materials, EarlyView.
Biological and biologically‐inspired functional nanostructures with structural, thermal, optical, and sensing applications are reviewed. The role of nanoscale features in biological materials on performance is described, and their blueprints are used for bio‐inspired nanomaterials, synthesized using advanced techniques (i.e., photolithography, bio ...
Chao Hsuan (Joseph) Sung, Taige Hao, Herry Fang, Andrew Tran Nguyen, Valentina Perricone, Haitao Yu, Wei Huang, Ezra Sarmiento, Adrian Francisco Duran Ornelas, Derek Lublin, Ric Wehling, Sanaz Farajollahi, Atsushi Arakaki, Dhriti Nepal, Nathan Patrick Lord, David Kisailus   +15 more
wiley   +1 more source

Thalamic regulation of reinforcement learning strategies across prefrontal-striatal networks. [PDF]

Nat Commun
Wang BA, Wang MB, Lam NH, Mengxing L, Li S, Wimmer RD, Paz-Alonso PM, Halassa MM, Pleger B.   +8 more
europepmc   +1 more source

Distributed Scheduling for Autonomous Vehicles by Reinforcement Learning

, 1997
Teruhiko Unoki, Noriaki Suetake
openalex   +2 more sources

Catalysts for Electrochemical Oxidation of Ammonia: A Comprehensive Review of Fundamentals and Optimization Strategies

Advanced Materials, EarlyView.
Developing robust catalysts for ammonia electrochemical oxidation (AOR) is essential for advancing NH3 utilization technologies. This review summarizes recent progress in catalyst design and mechanistic understanding of AOR. In addition, it systematically investigates strategies to improve AOR performance for various types of catalysts.
Yike Ye, ChenCheng Dai, Kamal Elouarzaki, Gang Wu, Zhichuan J. Xu   +4 more
wiley   +1 more source

Recommendation of deep reinforcement learning based on value function considering error reduction. [PDF]

Sci Rep
Zhou J, Shen D, Guo Y, Wu Y, Ma J.
europepmc   +1 more source

Support Vectors for Reinforcement Learning [PDF]

, 2001
Thomas G. Dietterich, Xin Wang
openalex   +1 more source

Recent Advances in Reactive Microdroplets for Clean Water and Energy

Advanced Materials, EarlyView.
Reactive microdroplets enable precise and sustainable chemistry at small scales. This review explores their role as confined reactors and dynamic interfaces for synthesizing functional materials, fuels, and microdevices. It offers a critical perspective on how droplet‐based platforms can drive next‐generation technologies in clean energy, environmental
Qiuyun Lu, Boubakar Sanogo, Tanay Kumar, Ben Bin Xu, Xuehua Zhang   +4 more
wiley   +1 more source

Hierarchical Reinforcement Learning for Fair Operating Room Scheduling in Plastic Surgery. [PDF]

Plast Reconstr Surg Glob Open
Wallner C, Puscz F, Schmidt SV, Reinkemeier F, Lehnhardt M, Drysch M.   +5 more
europepmc   +1 more source