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Fuzzy Modeling for Control
TLDR
Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view and focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements, and on the design of nonlinear controllers based on fuzzy models.
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A Comprehensive Survey of Multiagent Reinforcement Learning
TLDR
The benefits and challenges of MARL are described along with some of the problem domains where the MARL techniques have been applied, and an outlook for the field is provided.
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Reinforcement Learning and Dynamic Programming Using Function Approximators
TLDR
Reinforcement Learning and Dynamic Programming Using Function Approximators provides a comprehensive and unparalleled exploration of the field of RL and DP, with a focus on continuous-variable problems.
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Multi-agent Reinforcement Learning: An Overview
TLDR
This chapter reviews a representative selection of multi-agent reinforcement learning algorithms for fully cooperative, fully competitive, and more general (neither cooperative nor competitive) tasks.
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A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients
TLDR
The workings of the natural gradient is described, which has made its way into many actor-critic algorithms over the past few years, and a review of several standard and natural actor-Critic algorithms is given.
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A comprehensive survey of multi-agent reinforcement learning
TLDR
The benefits and challenges of MARL are described along with some of the problem domains where MARL techniques have been applied, and an outlook for the field is provided.
Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
TLDR
A new clustering algorithm is proposed, based on the expectation-maximization (EM) identification of Gaussian mixture models, which is applied to two well-known benchmark problems: the MPG prediction and a simulated second-order nonlinear process.
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Fuzzy model for the prediction of unconfined compressive strength of rock samples
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Mnemotechnics in Second-Language Learning
For some time I have been involved in efforts to develop computer-controlled systems for instruction. One such effort has been a computer-assistedinstruction (CAI) program for teaching reading in the…
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Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models
TLDR
A range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model are provided.
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