Results 171 to 180 of about 163,972 (287)

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

open access: yesCAAI 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   +3 more
wiley   +1 more source

Quantitative Evaluation of Mechanical Defects for Circuit Breakers Based on Self‐Adaptive Fault Feature Tracking

open access: yesHigh Voltage, EarlyView.
ABSTRACT Many researchers are committed to improving the diagnosis accuracy and solving the few‐shot problem on circuit breakers (CBs). However, the research on the vibration transmission mechanism of the fault is insufficient, which makes it difficult to find the potential design defects of CBs through vibration.
Jiayi Gong   +3 more
wiley   +1 more source

Unilateral incentive alignment in two-agent stochastic games. [PDF]

open access: yesProc Natl Acad Sci U S A
McAvoy A   +7 more
europepmc   +1 more source

Habitat Features, Coyotes, and Humans Drive Diel Activity Variation Among Sympatric Mammals

open access: yesIntegrative Zoology, EarlyView.
We found that multiple mammal species show considerable variation in diel activity in response to several factors, with biotic variables (habitat features and the presence of coyotes Canis latrans) having the strongest overall effects. Our results have important implications for trophic dynamics. Future studies will need to account for these underlying
Nathan J. Proudman, Maximilian L. Allen
wiley   +1 more source

Strategic Influencers and the Shaping of Beliefs

open access: yesThe RAND Journal of Economics, EarlyView.
ABSTRACT Influencers, from propagandists to sellers, expend vast resources targeting agents who amplify their message through word‐of‐mouth communication. While agents differ in network position, they also differ in their bias: Agents may naturally read articles with a particular slant or buy products from a certain seller.
Akhil Vohra
wiley   +1 more source

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