Reinforcement Using Supervised Learning for Policy Generalization

Laumonier, Julien

Reinforcement Using Supervised Learning for Policy Generalization

AAAI 2007 pp. 1882-1883

/aaai/2007/laumonier2007aaai-reinforcement/

Abstract

Applying reinforcement learning in large Markov Decision Process (MDP) is an important issue for solving very large problems. Since the exact resolution is often intractable, many approaches have been proposed to approximate the

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Cite

Text

Laumonier. "Reinforcement Using Supervised Learning for Policy Generalization." AAAI Conference on Artificial Intelligence, 2007.

Markdown

[Laumonier. "Reinforcement Using Supervised Learning for Policy Generalization." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/laumonier2007aaai-reinforcement/)

BibTeX

@inproceedings{laumonier2007aaai-reinforcement,
  title     = {{Reinforcement Using Supervised Learning for Policy Generalization}},
  author    = {Laumonier, Julien},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2007},
  pages     = {1882-1883},
  url       = {https://mlanthology.org/aaai/2007/laumonier2007aaai-reinforcement/}
}