Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes

Yi Tian, Jian Qian, Suvrit Sra. Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{TianQS20,
  title = {Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes},
  author = {Yi Tian and Jian Qian and Suvrit Sra},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/e61eaa38aed621dd776d0e67cfeee366-Abstract.html},
  researchr = {https://researchr.org/publication/TianQS20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}