The Value Equivalence Principle for Model-Based Reinforcement Learning

Christopher Grimm, André Barreto, Satinder Singh, David Silver. The Value Equivalence Principle for Model-Based Reinforcement Learning. 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{GrimmBSS20,
  title = {The Value Equivalence Principle for Model-Based Reinforcement Learning},
  author = {Christopher Grimm and André Barreto and Satinder Singh and David Silver},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/3bb585ea00014b0e3ebe4c6dd165a358-Abstract.html},
  researchr = {https://researchr.org/publication/GrimmBSS20},
  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},
}