A reinforcement learning-based architecture for fuzzy logic control
International Journal of Approximate Reasoning - Special issue on fuzzy logic and neural networks for pattern recognition and control
Fuzzy adaptive learning control network with on-line neural learning
Fuzzy Sets and Systems - Special issue on fuzzy control
Adaptive internal state space construction method for reinforcement learning of a real-world agent
Neural Networks - Special issue on organisation of computation in brain-like systems
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Extracting Interpretable Fuzzy Rules from RBF Networks
Neural Processing Letters
Adaptive Radial Basis Decomposition by Learning Vector Quantization
Neural Processing Letters
Anti-swing and positioning control of overhead traveling crane
Information Sciences: an International Journal
Stochastic simulations of web search engines: RBF versus second-order regression models
Information Sciences—Informatics and Computer Science: An International Journal
A generic architecture for adaptive agents based on reinforcement learning
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
Intelligent control of a stepping motor drive using an adaptive neuro-fuzzy inference system
Information Sciences—Informatics and Computer Science: An International Journal
Intelligent mobile manipulator navigation using adaptive neuro-fuzzy systems
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent embedded agents
A new approach for neural control of nonlinear discrete dynamic systems
Information Sciences: an International Journal
Fast learning in networks of locally-tuned processing units
Neural Computation
A fuzzy control scheme for video transmission in Bluetooth wireless
Information Sciences: an International Journal
Fuzzy inference system learning by reinforcement methods
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Reinforcement learning to adaptive control of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems
IEEE Transactions on Fuzzy Systems
Reinforcement learning for an ART-based fuzzy adaptive learning control network
IEEE Transactions on Neural Networks
Learning and tuning fuzzy logic controllers through reinforcements
IEEE Transactions on Neural Networks
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
Functional equivalence between radial basis function networks and fuzzy inference systems
IEEE Transactions on Neural Networks
A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Learning the Filling Policy of a Biodegradation Process by Fuzzy Actor---Critic Learning Methodology
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
A modified gradient-based neuro-fuzzy learning algorithm and its convergence
Information Sciences: an International Journal
Urban traffic signal learning control using fuzzy actor-critic methods
ICNC'09 Proceedings of the 5th international conference on Natural computation
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks
Information Sciences: an International Journal
Self-learning fuzzy logic controllers for pursuit-evasion differential games
Robotics and Autonomous Systems
Hessian matrix distribution for Bayesian policy gradient reinforcement learning
Information Sciences: an International Journal
Self-organizing state aggregation for architecture design of Q-learning
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Reinforcement learning algorithms with function approximation: Recent advances and applications
Information Sciences: an International Journal
Similarity of learned helplessness in human being and fuzzy reinforcement learning algorithms
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
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One of the difficulties encountered in the application of reinforcement learning methods to real-world problems is their limited ability to cope with large-scale or continuous spaces. In order to solve the curse of the dimensionality problem, resulting from making continuous state or action spaces discrete, a new fuzzy Actor-Critic reinforcement learning network (FACRLN) based on a fuzzy radial basis function (FRBF) neural network is proposed. The architecture of FACRLN is realized by a four-layer FRBF neural network that is used to approximate both the action value function of the Actor and the state value function of the Critic simultaneously. The Actor and the Critic networks share the input, rule and normalized layers of the FRBF network, which can reduce the demands for storage space from the learning system and avoid repeated computations for the outputs of the rule units. Moreover, the FRBF network is able to adjust its structure and parameters in an adaptive way with a novel self-organizing approach according to the complexity of the task and the progress in learning, which ensures an economic size of the network. Experimental studies concerning a cart-pole balancing control illustrate the performance and applicability of the proposed FACRLN.