@article{onepolicyisenoughparallelexploration,
  title = {One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning},
  author = {Pedro Cisneros-Velarde and Boxiang Lyu and Sanmi Koyejo and Mladen Kolar},
  year = {2022},
  eprint = {2205.15891},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2205.15891v3},
}