Results 171 to 180 of about 163,972 (287)
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
Decentralized resource allocation in UAV communication networks through reward based multi agent learning. [PDF]
Shoaib M +4 more
europepmc +1 more source
Multiagent game-theoretic robust optimization for power system planning under source-load uncertainty. [PDF]
Mi J +6 more
europepmc +1 more source
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]
McAvoy A +7 more
europepmc +1 more source
Decentralized Reinforcement Learning for Asymmetric Gene Network Interventions. [PDF]
Hosseini SH, Imani M.
europepmc +1 more source
Decision, Inference, and Information: Formal Equivalences Under Active Inference. [PDF]
Sweeney P, Ruiz-Serra J, Harré MS.
europepmc +1 more source
Habitat Features, Coyotes, and Humans Drive Diel Activity Variation Among Sympatric Mammals
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
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

