WebMingde "Harry" Zhao Mila, McGill University Verified email at mail.mcgill.ca. Chenqing (William) Hua McGill University; ... M Zhao, Z Liu, S Luan, S Zhang, D Precup, Y Bengio. Advances in Neural Information Processing Systems 34, 1569-1581, 2024. 17: 2024: Revisiting Heterophily For Graph Neural Networks. WebJun 3, 2024 · Authors: Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio. Download PDF Abstract: We present an end-to-end, model-based deep reinforcement learning agent which dynamically attends to relevant parts of its state, in order to plan and to generalize better out-of-distribution. The agent's architecture uses a set ...
Mingde Zhao OpenReview
WebBreak the ceiling: stronger multi-scale deep graph convolutional networks. Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup. December 2024NIPS'19: Proceedings of the 33rd International Conference on Neural Information Processing Systems. View all … http://mingde.world/ ffbb lezoux
[2109.05641] Is Heterophily A Real Nightmare For Graph Neural Networks ...
WebJun 13, 2024 · Abstract: Learning reward-agnostic representations is an emerging paradigm in reinforcement learning. These representations can be leveraged for several purposes ranging from reward shaping to skill discovery. Nevertheless, in order to learn such representations, existing methods often rely on assuming uniform access to the state … WebA Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. We present an end-to-end, model-based deep reinforcement learning agent ... 33 Mingde Zhao, et al. ∙. share. WebHarry Mingde Zhao. Mila > Team > Academic. Harry Mingde Zhao. Posted on 30 Jan 2024. Hey! This is Mingde (明德) and you can just call me Harry. I am a Ph.D. student cosupervised by Prof. Doina Precup and... Read More. Raymond Chua. Posted on 30 Jan 2024. I am a PhD student supervised by Doina Precup and Blake Richards. My main … hp pro mini 260 g9 datasheet