Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy

Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris 0001. Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. In Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, Cheng Zhang 0005, editors, Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. 2024. [doi]

@inproceedings{AllenKTLSPGPL024,
  title = {Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy},
  author = {Cameron Allen and Aaron Kirtland and Ruo Yu Tao and Sam Lobel and Daniel Scott and Nicholas Petrocelli and Omer Gottesman and Ronald Parr and Michael L. Littman and George Konidaris 0001},
  year = {2024},
  url = {http://papers.nips.cc/paper_files/paper/2024/hash/73073ccb3bc559fd001e66b9079d6d5e-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/AllenKTLSPGPL024},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024},
  editor = {Amir Globersons and Lester Mackey and Danielle Belgrave and Angela Fan and Ulrich Paquet and Jakub M. Tomczak and Cheng Zhang 0005},
}