王哲超，现为同济大学机械与能源工程学院科研助理，硕士毕业于苏州科技大学，计算机科学与技术专业，主要研究方向为：强化学习、建筑能源优化。
主要成果：
Fu, Q., Wang, Z., Fang, N. et al. MAML2: Meta reinforcement learning via meta-learning for task categories. Front. Comput. Sci. 17, 174325 (2023). https://doi.org/10.1007/s11704-022-2037-1
Xiong, Q., Li, Z., Cai, W., Wang, Z.. Model free optimization of building cooling water systems with refined action space. Build. Simul. 16, 615–627 (2023). https://doi.org/10.1007/s12273-022-0956-2
Wang, Z., Fu, Q., Chen, J. et al. Reinforcement learning in few-shot scenarios: a survey. J Grid Computing 21, 30 (2023). https://doi.org/10.1007/s10723-023-09663-0
