Presented by: Dawei Qiu, Lecturer, University of Exeter, Shengrong Bu, Associate Professor, Brock University, Canada, Zhu Han, Professor, University of Houston Session two of this web-based tutorial: Will provide a comprehensive overview of strategies for power system decarbonization, focusing on three key approaches: electric vehicles, microgrids, and peer-to-peer energy trading. It will explore the associated challenges and demonstrate how advanced techniques, including deep reinforcement learning and big data analytics, can be leveraged to address these challenges effectively. Session two will discuss: a. Data-driven reinforcement learning methods b. Markov decision process and Markov game c. Single-agent reinforcement leaning methods d. Multi-agent reinforcement leaning methods Presenters Homepage/ Bio: Dawei Qiu: https://experts.exeter.ac.uk/43059-dawei-qiu Zhu Han: http://www2.egr.uh.edu/~zhan2/ Shengrong Bu: https://brocku.ca/mathematics-science/engineering/faculty-staff/shengrong-bu/#bio After the Webinar The recording, slides and education credit will be available in the PES Resource Center, https://resourcecenter.ieee-pes.org/education/webinars within 3-5 business days following the session.