Results 191 to 200 of about 6,556,524 (264)

Waypoint Navigation of a 2D Drone in Stochastic Environment via Regularised Proximal Policy Optimisation

Artificial Intelligence for Engineering, EarlyView.
We present a three‐stage training framework combining Behaviour Cloning warm‐starting with auxiliary‐regularised Deep Reinforcement Learning PPO fine‐tuning for 2D drone waypoint navigation under stochastic wind. Persistent imitation regularisation prevents catastrophic forgetting, achieving robust generalisation to unseen targets and out‐of ...
Ahmet Bilgehan Serçe, Necati Aksoy
wiley   +1 more source

Quantum computing in finance: a literature review and future directions for trustworthy financial AI. [PDF]

Front Artif Intell
Muzzioli S, Raheem F, Ferrara M, Giudici P, Siciliano R.   +4 more
europepmc   +1 more source

Variance‐Guided Evolutionary Reinforcement Learning for Multi‐Objective Energy Scheduling in Dairy Farms

Artificial Intelligence for Engineering, EarlyView.
This reflects the different optimisation objectives: The MPC formulation in Equation (22) minimises electricity cost together with a weighted thermal‐slack penalty. Its solution is therefore optimal with respect to this combined objective, rather than electricity cost alone.
Nawazish Ali, Rachael Shaw, Karl Mason
wiley   +1 more source

Offline Reinforcement Learning for Adaptive Support in AI-Assisted Decision-Making. [PDF]

ACM Trans Comput Hum Interact
Buçinca Z, Swaroop S, Paluch AE, Murphy SA, Gajos KZ.   +4 more
europepmc   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li, Kaibo Shi, Yue Yu, Xiangkun Wang, Ming Zhu, Xiao Cai   +5 more
wiley   +1 more source

Beyond discrete social decisions: toward continuous dyadic neural dynamics in cooperation and competition. [PDF]

Front Syst Neurosci
Li Q, He J, Li Z, Rao C, Luo J, Wu J.
europepmc   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source

Computation Offloading Strategy Based on Multi-Agent Reinforcement Learning in Vehicular Edge Computing Networks. [PDF]

Sensors (Basel)
Liu Y, Sun Q, Liu Z.
europepmc   +1 more source

Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun, Bojie Fan, Bo Yin, Jie Nie, Anan Liu   +4 more
wiley   +1 more source

Finite-blocklength information theory. [PDF]

Fundam Res
Gao J, Chen S, Wu Y, Liu L, Caire G, Poor HV, Zhang W.   +6 more
europepmc   +1 more source