-
1
-
-
84881386533
-
On using the theory of regular functions to prove the ε-optimality of the continuous pursuit learning automaton
-
Springer, Amsterdan
-
Zhang X, Granmo O-C, Oommen B J, Jiao L (2013) On using the theory of regular functions to prove the ε-optimality of the continuous pursuit learning automaton. In: Proceedings of IEA-AIE 2013. Springer, Amsterdan, pp 262–271
-
(2013)
Proceedings of IEA-AIE
, vol.2013
, pp. 262-271
-
-
Zhang, X.1
Granmo, O.-C.2
Oommen, B.J.3
Jiao, L.4
-
2
-
-
84872179416
-
On ε-optimality of the pursuit learning algorithm
-
Ryan M, Omkar T (2012) On ε-optimality of the pursuit learning algorithm. J Appl Probab 49(3):795–805
-
(2012)
J Appl Probab
, vol.49
, Issue.3
, pp. 795-805
-
-
Ryan, M.1
Omkar, T.2
-
3
-
-
34548780157
-
Using stochastic AI techniques to achieve unbounded resolution in finite player Goore Games and its applications. In: Proceedings of IEEE symposium on computational intelligence and games. Honolulu
-
Oommen B J, Granmo O-C, Pedersen A (2007) Using stochastic AI techniques to achieve unbounded resolution in finite player Goore Games and its applications. In: Proceedings of IEEE symposium on computational intelligence and games. Honolulu, pp 161–167
-
(2007)
-
-
Oommen, B.J.1
Granmo, O.-C.2
Pedersen, A.3
-
4
-
-
84877707692
-
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the goore game
-
Granmo O-C, Glimsdal S (2013) Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the goore game. Appl Intell 38:479–488
-
(2013)
Appl Intell
, vol.38
, pp. 479-488
-
-
Granmo, O.-C.1
Glimsdal, S.2
-
5
-
-
10944243198
-
Meybodi M R (2000) Adaptation of parameters of BP algorithm using learning automata
-
JR, Brazil
-
Beigy H, Meybodi M R (2000) Adaptation of parameters of BP algorithm using learning automata. In: Proceedings of 6th Brazilian symposium on neural networks. JR, Brazil, pp 24–31
-
Proceedings of 6th Brazilian symposium on neural networks
, pp. 24-31
-
-
Beigy, H.1
-
6
-
-
33847613520
-
Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation
-
Granmo O-C, Oommen B J, Myrer S-A, Olsen M G (2007) Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation. IEEE Trans Syst Man Cybern B 37(1):166–175
-
(2007)
IEEE Trans Syst Man Cybern B
, vol.37
, Issue.1
, pp. 166-175
-
-
Granmo, O.-C.1
Oommen, B.J.2
Myrer, S.-A.3
Olsen, M.G.4
-
7
-
-
0032713501
-
Multiple stochastic learning automata for vehicle path control in an automated highway system
-
Unsal C, Kachroo P, Bay J S (1999) Multiple stochastic learning automata for vehicle path control in an automated highway system. IEEE Trans Syst Man Cybern 29:120–128
-
(1999)
IEEE Trans Syst Man Cybern
, vol.29
, pp. 120-128
-
-
Unsal, C.1
Kachroo, P.2
Bay, J.S.3
-
8
-
-
0034205869
-
Continuous learning automata solutions to the capacity assignment problem
-
Oommen B J, Roberts T D (2000) Continuous learning automata solutions to the capacity assignment problem. IEEE Trans Comput 49:608–620
-
(2000)
IEEE Trans Comput
, vol.49
, pp. 608-620
-
-
Oommen, B.J.1
Roberts, T.D.2
-
9
-
-
70249094297
-
On allocating limited sampling resources using a learning automata-based solution to the fractional knapsack problem
-
Ustron: Poland
-
Granmo O-C, Oommen B J (2006) On allocating limited sampling resources using a learning automata-based solution to the fractional knapsack problem. In: Proceedings of the 2006 international intelligent information processing and web mining conference, Advances in Soft Computing, vol. 35. Ustron, Poland, pp 263–272
-
(2006)
Proceedings of the 2006 international intelligent information processing and web mining conference, Advances in Soft Computing
, vol.35
, pp. 263-272
-
-
Granmo, O.-C.1
Oommen, B.J.2
-
10
-
-
77956191609
-
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem
-
Granmo O-C, Oommen B J (2010) Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem. Appl Intell 33(1):3–20
-
(2010)
Appl Intell
, vol.33
, Issue.1
, pp. 3-20
-
-
Granmo, O.-C.1
Oommen, B.J.2
-
11
-
-
77649254618
-
Solving stochastic nonlinear resource allocation problems using a hierarchy of twofold resource allocation automata
-
Granmo O-C (2010) Solving stochastic nonlinear resource allocation problems using a hierarchy of twofold resource allocation automata. IEEE Trans Comput 59(4):545–560
-
(2010)
IEEE Trans Comput
, vol.59
, Issue.4
, pp. 545-560
-
-
Granmo, O.-C.1
-
13
-
-
0000577436
-
Graph partitioning using learning automata
-
Oommen B J, Croix T D S (1996) Graph partitioning using learning automata. IEEE Trans Comput 45:195–208
-
(1996)
IEEE Trans Comput
, vol.45
, pp. 195-208
-
-
Oommen, B.J.1
Croix, T.D.S.2
-
14
-
-
0029207679
-
Inferring finite automata with stochastic output functions and an application to map learning
-
Dean T, Angluin D, Basye K, Engelson S, Aelbling L, Maron O (1995) Inferring finite automata with stochastic output functions and an application to map learning. Mach Learn 18:81–108
-
(1995)
Mach Learn
, vol.18
, pp. 81-108
-
-
Dean, T.1
Angluin, D.2
Basye, K.3
Engelson, S.4
Aelbling, L.5
Maron, O.6
-
15
-
-
84862134117
-
Service selection in stochastic environments: A learning-automaton based solution
-
Yazidi A, Granmo O-C, Oommen B J (2012) Service selection in stochastic environments: A learning-automaton based solution. Appl Intell 36:617–637
-
(2012)
Appl Intell
, vol.36
, pp. 617-637
-
-
Yazidi, A.1
Granmo, O.-C.2
Oommen, B.J.3
-
16
-
-
84862145176
-
Cla-de: a hybrid model based on cellular learning automata for numerical optimization
-
Vafashoar R, Meybodi M R, Momeni A A H (2012) Cla-de: a hybrid model based on cellular learning automata for numerical optimization. Appl Intell 36:735–748
-
(2012)
Appl Intell
, vol.36
, pp. 735-748
-
-
Vafashoar, R.1
Meybodi, M.R.2
Momeni, A.A.H.3
-
17
-
-
84860168752
-
An adaptive focused web crawling algorithm based on learning automata
-
Torkestani J A (2012) An adaptive focused web crawling algorithm based on learning automata. Appl Intell 37:586–601
-
(2012)
Appl Intell
, vol.37
, pp. 586-601
-
-
Torkestani, J.A.1
-
18
-
-
79956144647
-
Microassembly path planning using reinforcement learning for improving positioning accuracy of a 1cm3 omni-directional mobile microrobot
-
3 omni-directional mobile microrobot. Appl Intell 34:211–225
-
(2011)
Appl Intell
, vol.34
, pp. 211-225
-
-
Li, J.1
Li, Z.2
Chen, J.3
-
19
-
-
34948867815
-
A layered approach to learning coordination knowledge in multiagent environments
-
Erus G, Polat F (2007) A layered approach to learning coordination knowledge in multiagent environments. Appl Intell 27:249–267
-
(2007)
Appl Intell
, vol.27
, pp. 249-267
-
-
Erus, G.1
Polat, F.2
-
20
-
-
1142293166
-
Distributed reinforcement learning control for batch sequencing and sizing in just-in-time manufacturing systems
-
Hong J, Prabhu V V (2004) Distributed reinforcement learning control for batch sequencing and sizing in just-in-time manufacturing systems. Appl Intell 20:71–87
-
(2004)
Appl Intell
, vol.20
, pp. 71-87
-
-
Hong, J.1
Prabhu, V.V.2
-
26
-
-
0030212543
-
Finite time analysis of the pursuit algorithm for learning automata
-
Rajaraman K, Sastry P S (1996) Finite time analysis of the pursuit algorithm for learning automata. IEEE Trans Syst Man Cybern B Cybern 26:590–598
-
(1996)
IEEE Trans Syst Man Cybern B Cybern
, vol.26
, pp. 590-598
-
-
Rajaraman, K.1
Sastry, P.S.2
-
27
-
-
0035359274
-
Continuous and discretized pursuit learning schemes: various algorithms and their comparison
-
Oommen B J, Agache M (2001) Continuous and discretized pursuit learning schemes: various algorithms and their comparison,”. IEEE Trans Syst Man Cybern B Cybern 31(3):277–287
-
(2001)
IEEE Trans Syst Man Cybern B Cybern
, vol.31
, Issue.3
, pp. 277-287
-
-
Oommen, B.J.1
Agache, M.2
-
28
-
-
0022581279
-
Absorbing and ergodic discretized two-action learning automata
-
Oommen B J (1986) Absorbing and ergodic discretized two-action learning automata. IEEE Trans Syst Man Cybern 16:282–296
-
(1986)
IEEE Trans Syst Man Cybern
, vol.16
, pp. 282-296
-
-
Oommen, B.J.1
-
29
-
-
84947403595
-
Probability inequalities for sums of bounded random variables
-
Hoeffding W (1963) Probability inequalities for sums of bounded random variables. J Am Stat Assoc 58:13–30
-
(1963)
J Am Stat Assoc
, vol.58
, pp. 13-30
-
-
Hoeffding, W.1
-
30
-
-
84888390009
-
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata
-
Zhang X, Granmo O-C, Oommen B J (2013) On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata. Appl Intell 39:782–792
-
(2013)
Appl Intell
, vol.39
, pp. 782-792
-
-
Zhang, X.1
Granmo, O.-C.2
Oommen, B.J.3
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