A new Evolutionary Reinforcement Scheme for Stochastic Learning Automata
نویسندگان
چکیده
A stochastic automaton can perform a finite number of actions in a random environment. When a specific action is performed, the environment responds by producing an environment output that is stochastically related to the action. The aim is to design an automaton, using an evolutionary reinforcement scheme (the basis of the learning process), that can determine the best action guided by past actions and responses. Using Stochastic Learning Automata techniques, we introduce a decision/control method for intelligent vehicles receiving data from on-board sensors or from the localization system of highway infrastructure. Key-Words: Stochastic Learning Automata, Reinforcement Learning, Intelligent Vehicle Control
منابع مشابه
A New Nonlinear Reinforcement Scheme for Stochastic Learning Automata
Reinforcement schemes represent the basis of the learning process for stochastic learning automata, generating their learning behavior. An automaton using a reinforcement scheme can decide the best action, based on past actions and environment responses. The aim of this paper is to introduce a new reinforcement scheme for stochastic learning automata. We test our schema and compare with other n...
متن کاملA Nonlinear Reinforcement Scheme for Stochastic Learning Automata
A stochastic automaton can perform a finite number of actions in a random environment. When a specific action is performed, the environment responds by producing an environment output that is stochastically related to the action. This response may be favorable or unfavorable. The aim is to design an automaton that can determine the best action guided by past actions and responses. The reinforce...
متن کاملState-coupled replicator dynamics
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate games. More precisely, it extends and improves previous work on piecewise replicator dynamics, a combination of replicators and piecewise models. The contributions of the paper are twofold. One, we identify and explain...
متن کاملAutomatic control based on Wasp Behavioral Model and Stochastic Learning Automata
A stochastic automaton can perform a finite number of actions in a random environment. When a specific action is performed, the environment responds by producing an environment output that is stochastically related to the action. The aim is to design an automaton, using a reinforcement scheme based on the computational model of wasp behaviour that can determine the best action guided by past ac...
متن کاملApplication of Stochastic Learning Automata to Intelligent Vehicle Control
A stochastic automaton can perform a finite number of actions in a random environment. When a specific action is performed, the environment responds by producing an environment output that is stochastically related to the action. This response may be favourable or unfavourable. The aim is to design an automaton that can determine the best action guided by past actions and responses. Using Stoch...
متن کامل