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La ricerca find articoli where soggetti phrase all words 'reinforcement learning' sort by level,fasc_key/DESCEND, pagina_ini_num/ASCEND ha restituito 212 riferimenti
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    1. Cao, YJ
      Learner classifier systems: Theory and applications - A state-of-the-art review

      ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS
    2. Gelenbe, E; Lent, R; Xu, ZG
      Measurement and performance of a cognitive packet network

      COMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND TELECOMMUNICATIONS NETWORKING
    3. Nicolaisen, J; Petrov, V; Tesfatsion, L
      Market power and efficiency in a computational electricity market with discriminatory double-auction pricing

      IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
    4. Bonarini, A; Bonacina, C; Matteucci, M
      An approach to the design of reinforcement functions in real world, agent-based applications

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    5. Crabbe, FL; Dyer, MG
      Goal directed adaptive behavior in second-order neural networks: The MAXSON family of architectures

      ADAPTIVE BEHAVIOR
    6. Pipe, AG
      An architecture for learning "potential field" cognitive maps with an application to mobile robotics

      ADAPTIVE BEHAVIOR
    7. Dempster, MAH; Payne, TW; Romahi, Y; Thompson, GWP
      Computational learning techniques for intraday FX trading using popular technical indicators

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    8. Moody, J; Saffell, M
      Learning to trade via direct reinforcement

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    9. Si, J; Wang, YT
      On-line learning control by association and reinforcement

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    10. Anastasio, RJ
      Input minimization: a model of cerebellar learning without climbing fiber error signals

      NEUROREPORT
    11. Svinin, MM; Yamada, K; Ueda, K
      Emergent synthesis of motion patterns for locomotion robots

      ARTIFICIAL INTELLIGENCE IN ENGINEERING
    12. Althoefer, K; Krekelberg, B; Husmeier, D; Seneviratne, L
      Reinforcement learning in a rule-based navigator for robotic manipulators

      NEUROCOMPUTING
    13. Morimoto, J; Doya, K
      Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning

      ROBOTICS AND AUTONOMOUS SYSTEMS
    14. Park, KH; Kim, YJ; Kim, JH
      Modular Q-learning based multi-agent cooperation for robot soccer

      ROBOTICS AND AUTONOMOUS SYSTEMS
    15. Lee, MR; Rhee, H
      The effect of evolution in artificial life learning behavior

      JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
    16. Brodie, M; DeJong, G
      Iterated phantom induction: A knowledge-based approach to learning control

      MACHINE LEARNING
    17. Dzeroski, S; De Raedt, L; Driessens, K
      Relational reinforcement learning

      MACHINE LEARNING
    18. Tadic, V
      On the convergence of temporal-difference learning with linear function approximation

      MACHINE LEARNING
    19. Randlov, J; Alstrom, P
      Perception control

      PHYSICA A
    20. Suri, RE; Bargas, J; Arbib, MA
      Modeling functions of striatal dopamine modulation in learning and planning

      NEUROSCIENCE
    21. Ueno, A; Takeda, H
      Cooperation of categorical and behavioral learning in a practical solutionto the abstraction problem

      NEW GENERATION COMPUTING
    22. Asada, M; Uchibe, E
      Multiagent learning towards RoboCup

      NEW GENERATION COMPUTING
    23. Miyazaki, K; Kobayashi, S
      Rationality of reward sharing in multi-agent reinforcement learning

      NEW GENERATION COMPUTING
    24. Su, SF; Hsieh, SH; Chuang, CC
      On the study of embedding fuzzy concept into reinforcement learning schemes

      JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
    25. Borkar, VS
      A sensitivity formula for risk-sensitive cost and the actor-critic algorithm

      SYSTEMS & CONTROL LETTERS
    26. Seale, DA; Daniel, TE; Rapoport, A
      The information advantage in two-person bargaining with incomplete information

      JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION
    27. Bonarini, A; Trianni, V
      Learning fuzzy classifier systems for multi-agent coordination

      INFORMATION SCIENCES
    28. Gelenbe, E; Seref, E; Xu, ZG
      Simulation with learning agents

      PROCEEDINGS OF THE IEEE
    29. Salmon, TC
      An evaluation of econometric models of adaptive learning

      ECONOMETRICA
    30. Atlasis, AF; Vasilakos, AV
      Applicability of reinforcement learning algorithms to Usage Parameter Control

      COMPUTATIONAL INTELLIGENCE IN TELECOMMUNICATIONS NETWORKS
    31. Saltouros, MP; Atlasis, AF; Vasilakos, AV; Pedrycz, W
      QoS-based hierarchical routing in ATM networks using reinforcement learning algorithms: A methodology

      COMPUTATIONAL INTELLIGENCE IN TELECOMMUNICATIONS NETWORKS
    32. Abul, O; Polat, F; Alhajj, R
      Multiagent reinforcement learning using function approximation

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
    33. Bertsekas, DP; Homer, ML; Logan, DA; Patek, SD; Sandell, NR
      Missile defense and interceptor allocation by neuro-dynamic programming

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
    34. Wei, JD; Sun, CT
      Constructing hysteretic memory in neural networks

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    35. Sun, R; Sessions, C
      Self-segmentation of sequences: Automatic formation of hierarchies of sequential behaviors

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    36. Muller, JP; Faihe, Y
      Toward learning to control robot behaviors

      INTELLIGENT AUTOMATION AND SOFT COMPUTING
    37. Levin, E; Pieraccini, R; Eckert, W
      A stochastic model of human-machine interaction for learning dialog strategies

      IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
    38. Clausen, C; Wechsler, H
      Quad-Q-learning

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    39. Yuan, ST; Liu, A
      Next-generation agent-enabled comparison shopping

      EXPERT SYSTEMS WITH APPLICATIONS
    40. Bhanu, B; Lin, YQ; Jones, G; Peng, J
      Adaptive target recognition

      MACHINE VISION AND APPLICATIONS
    41. Distante, C; Anglani, A; Taurisano, F
      Target reaching by using visual information and Q-learning controllers

      AUTONOMOUS ROBOTS
    42. Touzet, CF
      Robot awareness in cooperative mobile robot learning

      AUTONOMOUS ROBOTS
    43. Aydin, ME; Oztemel, E
      Dynamic job-shop scheduling using reinforcement learning agents

      ROBOTICS AND AUTONOMOUS SYSTEMS
    44. Martin, P; Millan, JD
      Robot arm reaching through neural inversions and reinforcement learning

      ROBOTICS AND AUTONOMOUS SYSTEMS
    45. Paletta, L; Pinz, A
      Active object recognition by view integration and reinforcement learning

      ROBOTICS AND AUTONOMOUS SYSTEMS
    46. Garcia-Martinez, R; Borrajo, D
      An integrated approach of learning, planning, and execution

      JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
    47. Yan, JJ; Tokuda, N; Miyamichi, J
      A constructive compound neural networks. II Application to artificial lifein a competitive environment

      IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
    48. Arai, S; Miyazaki, K; Kobayashi, S
      Controlling multiple cranes using multi-agent reinforcement learning: Emerging coordination among competitive agents

      IEICE TRANSACTIONS ON COMMUNICATIONS
    49. Iizuka, H; Suzuki, K; Yamamoto, M; Ohuchi, A
      Learning of virtual words utilized in negotiation process between agents

      IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
    50. Munos, R
      A study of reinforcement learning in the continuous case by the means of viscosity solutions

      MACHINE LEARNING
    51. Menczer, F; Belew, RK
      Adaptive retrieval agents: Internalizing local context and scaling up to the Web

      MACHINE LEARNING
    52. Singh, S; Jaakkola, T; Littman, ML; Szepesvari, C
      Convergence results for single-step on-policy reinforcement-learning algorithms

      MACHINE LEARNING
    53. Gillies, A; Arbuthnott, G
      Computational models of the basal ganglia

      MOVEMENT DISORDERS
    54. Tong, H; Brown, TX
      Adaptive call admission control under quality of service constraints: A reinforcement learning solution

      IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
    55. Vogiatzis, D; Stafylopatis, A
      Reinforcement learning for symbolic expression induction

      MATHEMATICS AND COMPUTERS IN SIMULATION
    56. Potocnik, P; Grabec, I
      Adaptive self-tuning neurocontrol

      MATHEMATICS AND COMPUTERS IN SIMULATION
    57. Borkar, VS; Meyn, SP
      The ODE method for convergence of stochastic approximation and reinforcement learning

      SIAM JOURNAL ON CONTROL AND OPTIMIZATION
    58. Michalski, A
      An application of decision rules in reinforcement learning

      CONTROL AND CYBERNETICS
    59. Hwang, KS; Chao, HJ
      Adaptive reinforcement learning system for linearization control

      IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
    60. Zhong, XM; Santos, E
      Directing genetic algorithms for probabilistic reasoning through reinforcement learning

      INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
    61. Takeda, M; Nakamura, T; Imai, M; Ogasawara, T; Asada, M
      Enhanced continuous valued Q-learning for real autonomous robots

      ADVANCED ROBOTICS
    62. Potapov, AB; Ali, MK
      Learning, exploration and chaotic policies

      INTERNATIONAL JOURNAL OF MODERN PHYSICS C
    63. De Farias, DP; Van Roy, B
      On the existence of fixed points for approximate value iteration and temporal-difference learning

      JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
    64. Oh, SY; Lee, JH; Choi, DH
      A new reinforcement learning vehicle control architecture for vision-basedroad following

      IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
    65. Unsal, C; Kachroo, P; Bay, JS
      Multiple stochastic learning automata for vehicle path control in an automated highway system

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
    66. Lin, CT; Chung, IF
      A reinforcement neuro-fuzzy combiner for multiobjective control

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    67. Yung, NHC; Ye, C
      An intelligent mobile vehicle navigator based on fuzzy logic and reinforcement learning

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    68. Lin, CT; Jou, CP
      Controlling chaos by GA-based reinforcement learning neural network

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    69. Santos, JM; Touzet, C
      Dynamic update of the reinforcement function during learning

      CONNECTION SCIENCE
    70. Riedmiller, M
      Concepts and facilities of a neural reinforcement learning control architecture for technical process control

      NEURAL COMPUTING & APPLICATIONS
    71. Balkenius, C; Moren, J
      Dynamics of a classical conditioning model

      AUTONOMOUS ROBOTS
    72. Martin, P; Millan, JDR
      Learning of sensor-based arm motions while executing high-level descriptions of tasks

      AUTONOMOUS ROBOTS
    73. Wiering, M; Salustowicz, R; Schmidhuber, J
      Reinforcement learning soccer teams with incomplete world models

      AUTONOMOUS ROBOTS
    74. Hougen, DF; Rybski, PE; Gini, M
      Repeatability of real world training experiments: A case study

      AUTONOMOUS ROBOTS
    75. Peng, J; Bhanu, B
      Learning to perceive objects for autonomous navigation

      AUTONOMOUS ROBOTS
    76. Contreras-Vidal, JL; Schultz, W
      A predictive reinforcement model of dopamine neurons for learning approachbehavior

      JOURNAL OF COMPUTATIONAL NEUROSCIENCE
    77. Santos, JM; Touzet, C
      Exploration tuned reinforcement function

      NEUROCOMPUTING
    78. Johannet, A; Sarda, I
      Goal-directed behaviours by reinforcement learning

      NEUROCOMPUTING
    79. Salum, C; da Silva, AR; Pickering, A
      Striatal dopamine in attentional learning: A computational model

      NEUROCOMPUTING
    80. Cauwenberghs, G
      A nonlinear noise-shaping delta-sigma modulator with on-chip reinforcementlearning

      ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
    81. Wilkinson, J; Levinson, R
      Research environment for data analysis tool allocators

      APPLIED INTELLIGENCE
    82. Sun, R; Peterson, T; Merrill, E
      A hybrid architecture for situated learning of reactive sequential decision making

      APPLIED INTELLIGENCE
    83. Arai, Y; Fujii, T; Asama, H; Kaetsu, H; Endo, I
      Collision avoidance in multi-robot systems based on multi-layered reinforcement learning

      ROBOTICS AND AUTONOMOUS SYSTEMS
    84. Yoshioka, T; Ishii, S; Ito, M
      Strategy acquisition for the game "Othello" based on reinforcement learning

      IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
    85. Yoshida, T; Hori, K; Nakasuka, S
      Learning the balance between exploration and exploitation via reward

      IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
    86. Zhao, G; Tatsumi, S; Sun, R
      RTP-Q: A reinforcement learning system with time constraints exploration planning for accelerating the learning rate

      IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
    87. Hopkins, E
      Learning, matching, and aggregation

      GAMES AND ECONOMIC BEHAVIOR
    88. Doya, K
      What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?

      NEURAL NETWORKS
    89. Samejima, K; Omori, T
      Adaptive internal state space construction method for Reinforcement learning of a real-world agent

      NEURAL NETWORKS
    90. Sun, R; Peterson, T
      Multi-agent reinforcement learning: weighting and partitioning

      NEURAL NETWORKS
    91. Meuleau, N; Bourgine, P
      Exploration of multi-state environments: Local measures and back-propagation of uncertainty

      MACHINE LEARNING
    92. Baum, EB
      Toward a model of intelligence as an economy of agents

      MACHINE LEARNING
    93. Konda, VR; Borkar, VS
      Actor-critic-type learning algorithms for Markov decision processes

      SIAM JOURNAL ON CONTROL AND OPTIMIZATION
    94. Dreyfus-Leon, MJ
      Individual-based modelling of fishermen search behaviour with neural networks and reinforcement learning

      ECOLOGICAL MODELLING
    95. Hasegawa, Y; Fukuda, T; Shimojima, K
      Self-scaling reinforcement learning for fuzzy logic controller - Applications to motion control of two-link brachiation robot

      IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
    96. Morimoto, J; Doya, K
      Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories

      ADVANCED ROBOTICS
    97. Iida, F; Hara, F
      Behavior learning of a face robot based on the characteristics of human instruction

      ADVANCED ROBOTICS
    98. Micera, S; Sabatini, AM; Dario, P
      Adaptive fuzzy control of electrically stimulated muscles for arm movements

      MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
    99. Das, TK; Gosavi, A; Mahadevan, S; Marchalleck, N
      Solving semi-Markov decision problems using average reward reinforcement learning

      MANAGEMENT SCIENCE
    100. Camerer, C; Ho, TH
      Experience-weighted attraction learning in normal form games

      ECONOMETRICA


ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 13/08/20 alle ore 05:20:22