Results 181 to 190 of about 1,475 (247)

A Stackelberg-based repurchase strategy for rail freight options (BRFO). [PDF]

PLoS One
Shen Q, Kuang T, Guo J.
europepmc   +1 more source

Reinforcement Learning With Timed Constraints for Robotics Motion Planning

Artificial Intelligence for Engineering, EarlyView.
This work presents a unified automata‐based reinforcement learning framework that enforces MITL time‐bounded task specifications in both MDPs and POMDPs. Results from grid‐world and office scenarios show robust policy learning under stochastic dynamics and partial observability.
Zhaoan Wang, Junchao Li, Mohammad Mahdi Dehghan Pir, Shaoping Xiao   +3 more
wiley   +1 more source

The application of artificial intelligence techniques in predicting game outcomes of professional basketball league: A systematic review. [PDF]

PLoS One
Li C, Zhang H, Zhang Y, Shen J, An R.
europepmc   +1 more source

Cancer model with moving extinction threshold reproduces real cancer data. [PDF]

J R Soc Interface
Bastian F, Alkhayuon H, Mulchrone K, O'Riordain M, Wieczorek SM.   +4 more
europepmc   +1 more source

Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu, Xueqiang Gu, Caiming Zheng, Xin Xu, Zhangling Wang, Wanpeng Zhang, Yixing Lan   +6 more
wiley   +1 more source

Improving precision agriculture using integrated bio-inspired optimization models for crop recommendation in Rajasthan, India. [PDF]

Sci Rep
Goel L, Kumar N, Jain S, Agrawal Y.
europepmc   +1 more source

Exploration and Exploitation: A Study on Sample Efficiency in Reinforcement Learning With Multifaceted Curiosity Rewards and Adaptive Experience Replay Utilisation in Sparse Reward Environments

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang, Guipeng Xi, Meixiu Lin, Haohui Zhang, Bo Li, Evgeny Neretin   +5 more
wiley   +1 more source

A distributed differential game approach to trajectory planning for offshore wind farm inspection. [PDF]

PLoS One
Liao Y, You S, Wang H, Yu S, Xue W.
europepmc   +1 more source

Time to Breakdown for Type I Motor Winding Insulation Under High‐Frequency High‐Slew‐Rate Square Wave Voltages

High Voltage, EarlyView.
ABSTRACT The emergence of (ultra)wide bandgap ((U)WBG)‐based devices has significantly enhanced performance in high‐frequency switching applications, enabling breakthroughs in electric transportation, aerospace, and renewable energy systems. However, it also presents considerable challenges to insulation systems, such as electric motor winding ...
Easir Arafat, Md Asifur Rahman, Farzana Islam, Mona Ghassemi   +3 more
wiley   +1 more source

Trends and Prospects of Biometrics: From Sensing to Perception and Cognition. [PDF]

Sensors (Basel)
Cao Z, Schmid N, Pang L.
europepmc   +1 more source