Reinforcement learning algorithm for non-stationary environments
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01758-5
Abstract: Reinforcement learning (RL) methods learn optimal decisions in the presence of a stationary environment. However, the stationary assumption on the environment is very restrictive. In many real world problems like traffic signal control, robotic applications,… read more here.
Keywords: stationary environments; reinforcement learning; non stationary; optimal decisions ... See more keywords
Subjective models, oblique projectors, and optimal decisions in image morphology
Sign Up to like & getrecommendations! Published in 2017 at "Pattern Recognition and Image Analysis"
DOI: 10.1134/s1054661817020080
Abstract: The paper considers the mathematical formalism of the subjective modeling of uncertainty and ambiguity categories reflecting the incompleteness and inaccuracy of the information used in construction of a subjective morphological model. Some examples of subjective… read more here.
Keywords: image; oblique projectors; optimal decisions; subjective models ... See more keywords
Optimal decisions of price, quality, effort level and return policy in a three-level closed-loop supply chain based on different game theory approaches
Sign Up to like & getrecommendations! Published in 2017 at "European Journal of Industrial Engineering"
DOI: 10.1504/ejie.2017.086186
Abstract: Over the last few decades, the closed loop supply chain (CLSC) has been examined because of concerns over the environment and social liability. In this paper, we propose a joint optimisation model of pricing strategies,… read more here.
Keywords: closed loop; supply chain; optimal decisions; level ... See more keywords