Mark Rowland, Yunhao Tang, Clare Lyle, Rémi Munos, Marc G. Bellemare, Will Dabney. The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 29210-29231, PMLR, 2023. [doi]
@inproceedings{RowlandTLMBD23, title = {The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation}, author = {Mark Rowland and Yunhao Tang and Clare Lyle and Rémi Munos and Marc G. Bellemare and Will Dabney}, year = {2023}, url = {https://proceedings.mlr.press/v202/rowland23a.html}, researchr = {https://researchr.org/publication/RowlandTLMBD23}, cites = {0}, citedby = {0}, pages = {29210-29231}, booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA}, editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, volume = {202}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, }