%0 Journal Article %1 journals/sensors/ZhangLLG22 %A Zhang, Xianjie %A Liu, Yu %A Li, Wenjun %A Gong, Chen %D 2022 %J Sensors %K dblp %N 20 %P 7785 %T Pruning the Communication Bandwidth between Reinforcement Learning Agents through Causal Inference: An Innovative Approach to Designing a Smart Grid Power System. %U http://dblp.uni-trier.de/db/journals/sensors/sensors22.html#ZhangLLG22 %V 22

@article{journals/sensors/ZhangLLG22, added-at = {2022-12-05T00:00:00.000+0100}, author = {Zhang, Xianjie and Liu, Yu and Li, Wenjun and Gong, Chen}, biburl = {https://www.bibsonomy.org/bibtex/2ef109200321f38887333e53df639751d/dblp}, ee = {https://doi.org/10.3390/s22207785}, interhash = {9300a0d9d844c93a28af531a008c7c33}, intrahash = {ef109200321f38887333e53df639751d}, journal = {Sensors}, keywords = {dblp}, number = 20, pages = 7785, timestamp = {2024-04-09T04:21:26.000+0200}, title = {Pruning the Communication Bandwidth between Reinforcement Learning Agents through Causal Inference: An Innovative Approach to Designing a Smart Grid Power System.}, url = {http://dblp.uni-trier.de/db/journals/sensors/sensors22.html#ZhangLLG22}, volume = 22, year = 2022 }