A Computational Model of Imitation and Autonomous Behavior in Continuous Spaces

Author:

Sakato Tatsuya,Ozeki Motoyuki,Oka Natsuki

Publisher

Springer International Publishing

Reference11 articles.

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

2. Wiewiora, E., Cottrell, G., Elkan, C.: Principled methods for advising reinforcement learning agents. In: Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003), pp. 792–799 (2003)

3. Ng, A., Harada, D., Russell, S.: Policy invariance under reward transformations: Theory and application to reward shaping. In: Proceedings of the Sixteenth International Conference on Machine Learning, pp. 278–287 (1999)

4. Price, B., Boutilier, C.: Implicit imitation in multiagent reinforcement learning. In: Proceedings of the Sixteenth International Conference on Machine Learning, pp. 325–334 (1999)

5. Billard, A., Epars, Y., Calinon, S., Schaal, S., Cheng, G.: Discovering optimal imitation strategies. Robotics and Autonomous Systems 47(2-3), 69–77 (2004)

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