Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal. Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. 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 19440-19459, PMLR, 2023. [doi]
@inproceedings{LiCHAA23, title = {Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation}, author = {Zechu Li and Tao Chen and Zhang-Wei Hong and Anurag Ajay and Pulkit Agrawal}, year = {2023}, url = {https://proceedings.mlr.press/v202/li23f.html}, researchr = {https://researchr.org/publication/LiCHAA23}, cites = {0}, citedby = {0}, pages = {19440-19459}, 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}, }