Active Policy Iteration: Efficient Exploration Through Active Learning for Value Function Approximation in Reinforcement Learning

Akiyama et al. "Active Policy Iteration: Efficient Exploration Through Active Learning for Value Function Approximation in Reinforcement Learning." International Joint Conference on Artificial Intelligence, 2009. doi:10.1016/j.neunet.2009.12.010

[Akiyama et al. "Active Policy Iteration: Efficient Exploration Through Active Learning for Value Function Approximation in Reinforcement Learning." International Joint Conference on Artificial Intelligence, 2009.](https://mlanthology.org/ijcai/2009/akiyama2009ijcai-active/) doi:10.1016/j.neunet.2009.12.010

@inproceedings{akiyama2009ijcai-active,
  title     = {{Active Policy Iteration: Efficient Exploration Through Active Learning for Value Function Approximation in Reinforcement Learning}},
  author    = {Akiyama, Takayuki and Hachiya, Hirotaka and Sugiyama, Masashi},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2009},
  pages     = {980-985},
  doi       = {10.1016/j.neunet.2009.12.010},
  url       = {https://mlanthology.org/ijcai/2009/akiyama2009ijcai-active/}
}