Results 171 to 180 of about 39,851 (271)

Assessing the utility of autonomous recording units and spring point counts for monitoring abundance of ruffed grouse Bonasa umbellus

Wildlife Biology, EarlyView.
The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey, William B. Lewis, Gregory T. Wann, Richard B. Chandler, Emily Rushton, James A. Martin   +5 more
wiley   +1 more source

A stochastic evolutionary game of boosting urban low-carbon development in China. [PDF]

Sci Rep
Cai R, Loi EHN, Wang X, Zhao S, Zhang T.
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

Reconciling ecology and evolutionary game theory or "When not to think cooperation". [PDF]

Proc Natl Acad Sci U S A
Tarnita CE, Traulsen A.
europepmc   +1 more source

Gradient-Free De Novo Learning. [PDF]

Entropy (Basel)
Friston K, Parr T, Heins C, Da Costa L, Salvatori T, Tschantz A, Koudahl M, Van de Maele T, Buckley C, Verbelen T.   +9 more
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

Differential shooting training in youth basketball players: an analysis of performance effects. [PDF]

Front Psychol
Burkaitė G, Figueira B, Schöllhorn W, Coutinho D, Paulauskas R.   +4 more
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

Interrupt or reinforce? The impact of timeout on momentum in basketball game. [PDF]

Front Psychol
Qiu M, Zhang K, Chao Y, Zhang M.
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