Agent Based Simulation of Network Routing: Reinforcement Learning Comparison

Author:

Čunko Krešimir,Vuković Marin,Jevtić Dragan

Publisher

Springer International Publishing

Reference7 articles.

1. Sutton, R.S., Barto, A.G.: Reinforcement Learning – An Introduction. MIT Press, Cambridge (1998)

2. Watkins, C.J.C.H., Dayan, P.: Q-learning. Mach. Learn. 8, 55–68 (1992)

3. Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-Dynamic Programming. Athena Scientific, MIT, Belmont (1996)

4. Takadama, K., Fujita, H.: Toward guidelines for modeling learning agents in multiagent-based simulation: implications from Q-learning and Sarsa agents. In: MABS 2004, Conference Proceedings, pp. 159–172 (2004)

5. Farahnakian, F., Ebrahimi, M., Daneshtalab, M., Liljeberg, P., Plosila, J.: Q-learning based congestion-aware routing algorithm for on-chip network. IEEE Xplore (2011)

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