Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer

Cite

Text

Zhan et al. "Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer." International Joint Conference on Artificial Intelligence, 2016.

Markdown

[Zhan et al. "Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/zhan2016ijcai-theoretically/)

BibTeX

@inproceedings{zhan2016ijcai-theoretically,
  title     = {{Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer}},
  author    = {Zhan, Yusen and Bou-Ammar, Haitham and Taylor, Matthew E.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {2315-2321},
  url       = {https://mlanthology.org/ijcai/2016/zhan2016ijcai-theoretically/}
}