ML Anthology

A Bayesian Approach to Imitation in Reinforcement Learning

Bob Price, Craig Boutilier
IJCAI 2003 pp. 712-720
/ijcai/2003/price2003ijcai-bayesian/

Abstract

In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement learning (RL). We recast the problem of imitation in a Bayesian framework.

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Text

Price and Boutilier. "A Bayesian Approach to Imitation in Reinforcement Learning." International Joint Conference on Artificial Intelligence, 2003.

Markdown

[Price and Boutilier. "A Bayesian Approach to Imitation in Reinforcement Learning." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/price2003ijcai-bayesian/)

BibTeX

@inproceedings{price2003ijcai-bayesian,
  title     = {{A Bayesian Approach to Imitation in Reinforcement Learning}},
  author    = {Price, Bob and Boutilier, Craig},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2003},
  pages     = {712-720},
  url       = {https://mlanthology.org/ijcai/2003/price2003ijcai-bayesian/}
}