基于对抗图生成的动态蒙特卡洛强化学习
宋莉,宛袁玉,金苍宏,宋明黎

Dynamic Monte-Carlo reinforcement learning based on adversarial graph generation
Li SONG,Yuanyu WAN,Canghong JIN,Mingli SONG
图 4 GAT-GAN、GAN-RL、GGAN-DQN、GGAN-MCRL的平均奖励、生成器的Q值、分数
Fig.4 Mean reward, Q value of generator, and scores for GAT-GAN, GAN-RL, GGAN-DQN, GGAN-MCRL