These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
101 related articles for article (PubMed ID: 33017293)
1. An Efficient Parameter-Free Learning Automaton Scheme. Di C; Liang Q; Li F; Li S; Luo F IEEE Trans Neural Netw Learn Syst; 2021 Nov; 32(11):4849-4863. PubMed ID: 33017293 [TBL] [Abstract][Full Text] [Related]
2. A parameter-free learning automaton scheme. Ren X; Li S; Ge H Front Neurorobot; 2022; 16():999658. PubMed ID: 36213147 [TBL] [Abstract][Full Text] [Related]
3. Last-position elimination-based learning automata. Zhang J; Wang C; Zhou M IEEE Trans Cybern; 2014 Dec; 44(12):2484-92. PubMed ID: 24710837 [TBL] [Abstract][Full Text] [Related]
4. A Non-Monte-Carlo Parameter-Free Learning Automata Scheme Based on Two Categories of Statistics. Guo Y; Li S IEEE Trans Cybern; 2019 Dec; 49(12):4153-4166. PubMed ID: 30106748 [TBL] [Abstract][Full Text] [Related]
5. Parameter learning from stochastic teachers and stochastic compulsive liars. Oommen BJ; Raghunath G; Kuipers B IEEE Trans Syst Man Cybern B Cybern; 2006 Aug; 36(4):820-34. PubMed ID: 16903367 [TBL] [Abstract][Full Text] [Related]
6. Continuous and discretized pursuit learning schemes: various algorithms and their comparison. Oommen BJ; Agache M IEEE Trans Syst Man Cybern B Cybern; 2001; 31(3):277-87. PubMed ID: 18244792 [TBL] [Abstract][Full Text] [Related]
7. A new class of epsilon-optimal learning automata. Papadimitriou GI; Sklira M; Pomportsis AS IEEE Trans Syst Man Cybern B Cybern; 2004 Feb; 34(1):246-54. PubMed ID: 15369067 [TBL] [Abstract][Full Text] [Related]
8. The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions. Yazidi A; Zhang X; Jiao L; Oommen BJ IEEE Trans Neural Netw Learn Syst; 2020 Feb; 31(2):512-526. PubMed ID: 30990443 [TBL] [Abstract][Full Text] [Related]
9. The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. Omslandseter RO; Jiao L; Zhang X; Yazidi A; Oommen BJ IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):8278-8292. PubMed ID: 37015672 [TBL] [Abstract][Full Text] [Related]
10. Learning Automata-Based Multiagent Reinforcement Learning for Optimization of Cooperative Tasks. Zhang Z; Wang D; Gao J IEEE Trans Neural Netw Learn Syst; 2021 Oct; 32(10):4639-4652. PubMed ID: 33027003 [TBL] [Abstract][Full Text] [Related]
11. Multimodal searching technique based on learning automata with continuous input and changing number of actions. Najim K; Poznyak AS IEEE Trans Syst Man Cybern B Cybern; 1996; 26(4):666-73. PubMed ID: 18263067 [TBL] [Abstract][Full Text] [Related]
12. Optimal amnesic probabilistic automata or how to learn and classify proteins in linear time and space. Apostolico A; Bejerano G J Comput Biol; 2000; 7(3-4):381-93. PubMed ID: 11108469 [TBL] [Abstract][Full Text] [Related]
13. The STAR automaton: expediency and optimality properties. Economides AA; Kehagias A IEEE Trans Syst Man Cybern B Cybern; 2002; 32(6):723-37. PubMed ID: 18244879 [TBL] [Abstract][Full Text] [Related]
14. Automata learning and intelligent tertiary searching for stochastic point location. Oommen BJ; Raghunath G IEEE Trans Syst Man Cybern B Cybern; 1998; 28(6):947-54. PubMed ID: 18256016 [TBL] [Abstract][Full Text] [Related]
15. Cellular learning automata with multiple learning automata in each cell and its applications. Beigy H; Meybodi MR IEEE Trans Syst Man Cybern B Cybern; 2010 Feb; 40(1):54-65. PubMed ID: 19884061 [TBL] [Abstract][Full Text] [Related]
16. Intelligent controllers as hierarchical stochastic automata. Lima PU; Saridis GN IEEE Trans Syst Man Cybern B Cybern; 1999; 29(2):151-63. PubMed ID: 18252289 [TBL] [Abstract][Full Text] [Related]