Pages that link to "Item:Q3690233"
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The following pages link to A new approach to the design of reinforcement schemes for learning automata (Q3690233):
Displaying 23 items.
- Adaptive learning via selectionism and Bayesianism. I: Connection between the two (Q280319) (← links)
- Adaptive learning via selectionism and Bayesianism. II: The sequential case (Q280320) (← links)
- Reinforcement learning: exploration-exploitation dilemma in multi-agent foraging task (Q505118) (← links)
- Optimization based on a team of automata with binary outputs (Q705150) (← links)
- Adaptive selection of query execution strategies by learning automata (Q908718) (← links)
- A new continuous action-set learning automaton for function optimization (Q1033105) (← links)
- A hierarchical system of learning automata that can learn the globally optimal path (Q1096403) (← links)
- Simple statistical gradient-following algorithms for connectionist reinforcement learning (Q1812928) (← links)
- Absorbing stochastic estimator learning automata for S-model stationary environments (Q1857045) (← links)
- The multi-armed bandit problem: an efficient nonparametric solution (Q2176624) (← links)
- Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments (Q2369547) (← links)
- Reinforcement learning and evolutionary algorithms for non-stationary multi-armed bandit problems (Q2479159) (← links)
- A learning automata based algorithm for optimization of continuous complex functions (Q2568237) (← links)
- Multi-modal parameter optimization by the automata approach (Q3140038) (← links)
- On ε-Optimality of the Pursuit Learning Algorithm (Q3165495) (← links)
- Automated Reinforcement Learning (AutoRL): A Survey and Open Problems (Q5094025) (← links)
- A job scheduling approach based on a learning automaton for a distributed computing system (Q5289314) (← links)
- An Introduction to Learning Automata and Optimization (Q5861756) (← links)
- A strategy for controlling nonlinear systems using a learning automaton (Q5926285) (← links)
- A modification of the stochastic ruler method for discrete stochastic optimization (Q5943565) (← links)
- Stochastic automata and learning systems. (Q5955743) (← links)
- Learning automata algorithms for pattern classification. (Q5955820) (← links)
- Parallel algorithm portfolios with adaptive resource allocation strategy (Q6200379) (← links)
