SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning

Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee 0001. SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{LeeHC023,
  title = {SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning},
  author = {Dohyeok Lee and Seungyub Han and Taehyun Cho and Jungwoo Lee 0001},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/cdcaf772b4f8eda0385d0930517de64a-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/LeeHC023},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}