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An LSPI Based Reinforcement Learning Approach to Enable Network Cooperation in Cognitive Wireless Sensor Network.

, , , and . AINA Workshops, page 82-89. IEEE Computer Society, (2013)

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On Suitability of the Reinforcement Learning Methodology in Dynamic, Heterogeneous, Self-optimizing Networks., , , and . NEW2AN, volume 8121 of Lecture Notes in Computer Science, page 162-175. Springer, (2013)A reinforcement learning based solution for cognitive network cooperation between co-located, heterogeneous wireless sensor networks., , , and . Ad Hoc Networks, (2014)Coping with Network Dynamics Using Reinforcement Learning Based Network Optimization in Wireless Sensor Networks., , , and . Wireless Personal Communications, 76 (2): 169-191 (2014)Application of the LSPI reinforcement learning technique to a co-located network negotiation problem.. WOWMOM, page 1-2. IEEE Computer Society, (2013)A negotiation-based networking methodology to enable cooperation across heterogeneous co-located networks., , , , and . Ad Hoc Networks, 10 (6): 901-917 (2012)Traffic Differentiation - A Basic Step Towards Providing End-to-End QoS on the Train-to-Wayside Wireless Communication System., , , , , , and . VTC Fall, page 1-6. IEEE, (2012)Experimental validation of a reinforcement learning based approach for a service-wise optimisation of heterogeneous wireless sensor networks., , , , , and . Wireless Networks, 21 (3): 931-948 (2015)Design and Prototype of a Train-to-Wayside Communication Architecture., , , , , , , , , and . Nets4Cars/Nets4Trains, volume 7266 of Lecture Notes in Computer Science, page 137-150. Springer, (2012)Data traffic differentiation and QoS on the train, in fast parameter varying, heterogeneous wireless networks., , , , , , and . SCVT, page 1-6. IEEE, (2011)An LSPI Based Reinforcement Learning Approach to Enable Network Cooperation in Cognitive Wireless Sensor Network., , , and . AINA Workshops, page 82-89. IEEE Computer Society, (2013)