%0 Conference Paper %1 conf/atal/JiangLLKJL024 %A Jiang, Weibo %A Li, Shaohui %A Li, Zhi %A Ke, Yuxin %A Jiang, Zhizhuo %A Li, Yaowen %A Liu, Yu %B AAMAS %D 2024 %E Dastani, Mehdi %E Sichman, Jaime Simão %E Alechina, Natasha %E Dignum, Virginia %I International Foundation for Autonomous Agents and Multiagent Systems / ACM %K dblp %P 2315-2317 %T Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping. %U http://dblp.uni-trier.de/db/conf/atal/aamas2024.html#JiangLLKJL024

@inproceedings{conf/atal/JiangLLKJL024, added-at = {2024-05-03T00:00:00.000+0200}, author = {Jiang, Weibo and Li, Shaohui and Li, Zhi and Ke, Yuxin and Jiang, Zhizhuo and Li, Yaowen and Liu, Yu}, biburl = {https://www.bibsonomy.org/bibtex/2d52d05295dd8e709bc53c5d719966b48/dblp}, booktitle = {AAMAS}, crossref = {conf/atal/2024}, editor = {Dastani, Mehdi and Sichman, Jaime Simão and Alechina, Natasha and Dignum, Virginia}, ee = {https://dl.acm.org/doi/10.5555/3635637.3663145}, interhash = {cc2f309b8cf6d1eea18493afc1eb7c5b}, intrahash = {d52d05295dd8e709bc53c5d719966b48}, keywords = {dblp}, pages = {2315-2317}, publisher = {International Foundation for Autonomous Agents and Multiagent Systems / ACM}, timestamp = {2024-07-01T07:13:43.000+0200}, title = {Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping.}, url = {http://dblp.uni-trier.de/db/conf/atal/aamas2024.html#JiangLLKJL024}, year = 2024 }