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RLDialogueAgent

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87148a0f8d4dfd48cb789b723bb50625e1b95967

Fixed RL Agent

committed 8 years ago
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5729bf5b1daf43cbe2ce51ab981ae610ed4db928

Updated References

committed 8 years ago
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3ecdca44f32fc76dbd0149951e000dda8e234366

Updated References

committed 8 years ago
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fb1193a66e6db61afe605c6fb4139eead17506ed

Implemented instruction generation agent

committed 8 years ago
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d284631559e0605c262057f299f34da3a577a8d9

Implemented Agent for learning intervention

committed 8 years ago
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4bf9c866dad09b191951a89fb676ed856ac431cd

Implemented Agent for learning

committed 8 years ago

README

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RL Dialogue Agent

A Reinforcement Learning-based Dialogue Agent for Referring Expression Generation.

References:

[1] Heidrich-Meisner, V., Lauer, M., Igel, C., & Riedmiller, M. A. (2007). Reinforcement learning in a nutshell. In ESANN (pp. 277–288).

[2] CUAYAHUITL, H., DETHLEFS, N., FROMMBERGER, L., RICHTER, K.-F., AND BATEMAN, J. 2010a. Generating adaptive route instructions using hierarchical reinforcement learning. In Proceedings of the International Conference on Spatial Cognition (Spatial Cognition VII).

[3] Mitchell, C.M., Boyer, K.E. and Lester, J.C. (2013). A Markov decision process model of tutorial intervention in task-oriented dialogue. In Proceedings of the International Conference on Artificial Intelligence in Education, pp.828–831, Memphis, Tennessee.