Results 71 to 80 of about 57,303 (303)
Advanced Robotics Research, EarlyView.This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Limit Synchronization in Markov Decision Processes [PDF]
, 2014 Markov decision processes (MDP) are finite-state systems with both strategic and probabilistic choices. After fixing a strategy, an MDP produces a sequence of probability distributions over states. The sequence is eventually synchronizing if the probability mass accumulates in a single state, possibly in the limit.
Doyen, Laurent +2 more
openaire +3 more sources
One-Counter Markov Decision Processes [PDF]
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010 Updated preliminary version, submitted to ...
T. Brazdil +4 more
openaire +4 more sources
Quantile Markov decision process
, 2020 The goal of a traditional Markov decision process (MDP) is to maximize expected cumulative reward over a defined horizon (possibly infinite). In many applications, however, a decision maker may be interested in optimizing a specific quantile of the ...
Li, Xiaocheng +2 more
core
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
Advanced Science, EarlyView.We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
Robot introspection through learned hidden Markov models
, 2006 In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behavioural models to provide a robot with an introspective capability.
Maria Fox +11 more
core +1 more source
On stopping a Markov decision process [PDF]
, 1975 In this report the same situation will be considered as in Hordijk, Dynamic programrrdng and Markov potential theory [3], viz. a countable state space Markov decision process which can be stopped.
Groenewegen, L.P.J.
core +1 more source
Advanced Science, EarlyView.High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott +5 more
wiley +1 more source
Risk Minimizing Strategies for Revenue Management Problems with Target Values [PDF]
, 2009 Consider a risk-averse decision maker in the setting of a single-leg dynamic revenue management problem. Instead on focusing on maximizing the expected revenue, the decision maker has the main objective of minimizing the risk of failing to achieve a ...
Meissner, J, Koenig, M
core
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source