Graduate School of AI, KAIST, Daejeon, Republic of Korea; Graduate School of AI, KAIST, Daejeon, Republic of Korea and School of Computing, KAIST, Daejeon, Republic of Korea; School of Computing, KAIST, Daejeon, Republic of Korea and Gauss Labs Inc., Seoul, Republic of Korea
Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee, Kee-Eung Kim
power grid management;deep reinforcement learning;graph neural network
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic