Balloon analogue risk taskBandit problemsBayesian graphical modelsOptimal stopping problemsWisdom of the crowdThis article has no associated abstract. ( fix it )doi:10.1111/cogs.13011Bobby ThomasJeff CoonHolly A. WestfallMichael D. Lee
sequential decision-makingA growing body of evidence suggests that emotional states under which individuals perform decision-making tasks modulate performance. Studies have mainly reported that negative emotions can differentially increase or decrease performance by modulating feedback processing. In contrast, ...
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. Ho... S Ross,J Pineau,S Paquet,... - 《Journal of Artificial Intelligence Research》 被引量: 588发表: 2008年 Parallel DEVS: A Parallel, Hierarc...
strategies are affected by properties of the environment and agent competency for natural language command learning in sequential decision making tasks, which will inform the development of more adaptive models of human feedback in the ... P Bei,R Loftin,J. MacGlashan,... 被引量: 2发表: 20...
In this work, we observe that the same idea also applies naturally to sequential decision-making, where many well-studied tasks like behavior cloning, offline reinforcement learning, inverse dynamics, and waypoint conditioning correspond to different sequence maskings over a sequence of states, actions...
Meanwhile, collaborative AEC technologies centering around building information models (BIMs) are becoming widely applied to support various architectural, structural, and preconstruction decision-making tasks. These models, if integrated with the as-built perspective of a construction, have great potential...
Some experiments with a hybrid model for learning sequential decision making To deal with sequential decision tasks, we present a learning model CLARION, which is a hybrid connectionist model consisting of both localist and distribu... R Sun,T Peterson - Elsevier Science Inc. 被引量: 63发表:...
Meta-learning methods leverage past experience to learn data-driven inductive biases from related problems, increasing learning efficiency on new tasks. This ability renders them particularly suitable for sequential decision making with limited experience. Within this problem family, we argue for the use...
A Behavioral and Neural Evaluation of Prospective Decision-Making under Risk. Here, using behavioral and functional magnetic resonance imaging (fMRI) data, we studied human subjects in a sequential choice task and use these data to... Symmonds,Mkael - 《Journal of Neuroscience》 被引量: 55发表...
abookmark 书签 [translate] a''And this is mine,''said Pete. "并且这是我的, "皮特说。 [translate] aCannot Signin to Communi Caeor 不能Signin对Communi Caeor [translate] aDecision-Making in Research Tasks with Sequential Testing 正在翻译,请等待... [translate] ...