Results 171 to 180 of about 39,858 (272)

Improving women football tactics analysis by using extreme learning and accumulated optimization algorithm. [PDF]

Sci Rep
Li J, Khishe M, Ibrahim BF.
europepmc   +1 more source

Annual survival in a dynamic species: pronghorn survival patterns across their northern range

Wildlife Biology, EarlyView.
Quantifying variation in demographic patterns, such as survival and recruitment, is critical for understanding population dynamics and informing evidence‐based and adaptive wildlife management. In this study, we leverage an extensive dataset from over 1000 GPS collared pronghorn Antilocapra americana to provide the first large‐scale evaluation of ...
Molly C. McDevitt, Anna K. Moeller, Andrew J. Lindbloom, Kelly Proffitt, Joshua J. Millspaugh, Paul M. Lukacs   +5 more
wiley   +1 more source

Heterogeneity, reinforcement learning, and chaos in population games. [PDF]

Proc Natl Acad Sci U S A
Bielawski J, Chotibut T, Falniowski F, Misiurewicz M, Piliouras G.   +4 more
europepmc   +1 more source

Equilibrium Control in Uncertain Linear Quadratic Differential Games with V-Jumps and State Delays: A Case Study on Carbon Emission Reduction. [PDF]

Entropy (Basel)
Jia Z.
europepmc   +1 more source

TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Efficient exploration is critical in handling sparse rewards and partial observability in deep reinforcement learning. However, most existing intrinsic reward methods based on novelty rely on single‐step observations or Euclidean distances.
Jingxiang Ma, Hongbin Ma, Youzhi Zhang
wiley   +1 more source

Steady-State and Dynamical Behavior of a PDE Model of Multilevel Selection with Pairwise Group-Level Competition. [PDF]

Bull Math Biol
Alexiou K, Cooney DB.
europepmc   +1 more source

Temporal Dependency‐Aware Trajectory‐Level Behavioural Metric for Exploration in Reinforcement Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intrinsic motivation serves as the predominant paradigm of exploration in reinforcement learning. In pursuit of an informative and robust state representation, the behavioural metric groups behaviourally equivalent states together, which share the same single‐step reward and transition distribution.
Anjie Zhu, Yongjun Yang, Guangyi Zhao, Jie Shao   +3 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

Multi‐Agent Reinforcement Learning Driven Dynamic Resource Optimisation in Healthcare Transportation Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency module to capture complex spatiotemporal relationships in healthcare demand and resource allocation patterns, combined with centralised ...
Jianhui Lv, Byung‐Gyu Kim, Keqin Li, Heng Lu   +3 more
wiley   +1 more source

On infinite-dimensional stochastic differential games

On infinite-dimensional stochastic differential games
Dedicated to Professor S.
openaire   +1 more source