Results 21 to 30 of about 136,209 (296)

OSCAR: OOD State-Conservative Offline Reinforcement Learning for Sequential Decision Making

CAAI Artificial Intelligence Research, 2023
Offline reinforcement learning (RL) is a data-driven learning paradigm for sequential decision making. Mitigating the overestimation of values originating from out-of-distribution (OOD) states induced by the distribution shift between the learning policy
Yi Ma, Chao Wang, Chen Chen, Jinyi Liu, Zhaopeng Meng, Yan Zheng, Jianye Hao   +6 more
doaj   +1 more source

Personalized next-best action recommendation with multi-party interaction learning for automated decision-making.

PLoS ONE, 2022
Automated next-best action recommendation for each customer in a sequential, dynamic and interactive context has been widely needed in natural, social and business decision-making.
Longbing Cao, Chengzhang Zhu
doaj   +1 more source

Learning to Generalize for Sequential Decision Making [PDF]

Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Findings of EMNLP2020, 18 ...
Xusen Yin, Ralph M. Weischedel, Jonathan May   +2 more
openaire   +2 more sources

Multiphasic value biases in fast-paced decisions

eLife, 2023
Perceptual decisions are biased toward higher-value options when overall gains can be improved. When stimuli demand immediate reactions, the neurophysiological decision process dynamically evolves through distinct phases of growing anticipation ...
Elaine A Corbett, L Alexandra Martinez-Rodriguez, Cian Judd, Redmond G O'Connell, Simon P Kelly   +4 more
doaj   +1 more source

Possibilistic sequential decision making

International Journal of Approximate Reasoning, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nahla Ben Amor, Hélène Fargier, Wided Guezguez   +2 more
openaire   +4 more sources

Decision making under time pressure: an independent test of sequential sampling models [PDF]

, 1999
Choice probability and choice response time data from a risk-taking decision-making task were compared with predictions made by a sequential sampling model. The behavioral data, consistent with the model, showed that participants were less likely to take
Busemeyer, Jerome R., Jerome R. Busemeyer, Beth Basola, Basola, Beth, Itiel E. Dror, Dror, Itiel E.   +5 more
core   +1 more source

Utility Theory for Sequential Decision Making

CoRR, 2022
ICML ...
Mehran Shakerinava, Siamak Ravanbakhsh
openaire   +3 more sources

A Construction Method of a Sequential Decision Chain for Unmanned-Ship Autonomous Collision Avoidance Based on Human-Like Thinking

Journal of Marine Science and Engineering, 2023
As one of the key technologies restricting the development of intelligent ships, autonomous collision avoidance has attracted the attention of many scholars all over the world.
Xiaoyuan Wang, Gang Wang, Quanzheng Wang, Junyan Han, Longfei Chen, Bin Wang, Huili Shi   +6 more
doaj   +1 more source

Sequential Decision-Making in Ants and Implications to the Evidence Accumulation Decision Model

Frontiers in Applied Mathematics and Statistics, 2021
Cooperative transport of large food loads by Paratrechina longicornis ants demands repeated decision-making. Inspired by the Evidence Accumulation (EA) model classically used to describe decision-making in the brain, we conducted a binary choice ...
Oran Ayalon, Yigal Sternklar, Ehud Fonio, Amos Korman, Nir S. Gov, Ofer Feinerman   +5 more
doaj   +1 more source

Decision-making in research tasks with sequential testing.

PLoS ONE, 2009
BackgroundIn a recent controversial essay, published by JPA Ioannidis in PLoS Medicine, it has been argued that in some research fields, most of the published findings are false.
Thomas Pfeiffer, David G Rand, David G Rand, Anna Dreber   +3 more
doaj   +1 more source