Honghua Dong
Honghua Dong
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Robust multi-agent reinforcement learning via minimax deep deterministic policy gradient
S Li, Y Wu, X Cui, H Dong, F Fang, S Russell
Proceedings of the AAAI conference on artificial intelligence 33 (01), 4213-4220, 2019
Neural logic machines
H Dong, J Mao, T Lin, C Wang, L Li, D Zhou
arXiv preprint arXiv:1904.11694, 2019
The scattering compositional learner: Discovering objects, attributes, relationships in analogical reasoning
Y Wu, H Dong, R Grosse, J Ba
arXiv preprint arXiv:2007.04212, 2020
Identifying the risks of lm agents with an lm-emulated sandbox
Y Ruan, H Dong, A Wang, S Pitis, Y Zhou, J Ba, Y Dubois, CJ Maddison, ...
arXiv preprint arXiv:2309.15817, 2023
Universal agent for disentangling environments and tasks
J Mao, H Dong, JJ Lim
International Conference on Learning Representations, 2018
Explicit recall for efficient exploration
H Dong, J Mao, X Cui, L Li
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
H Dong, J Xu, Y Yang, R Zhao, S Wu, C Yuan, X Li, CJ Maddison, L Han
Advances in Neural Information Processing Systems 36, 2024
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution
S Wu, Q Wu, H Dong, W Hua, X Zhou
Proceedings of the VLDB Endowment 17 (3), 292-304, 2023
The Fittest Wins: a Multi-Stage Framework Achieving New SOTA in ViZDoom Competition
S Li, J Xu, H Dong, Y Yang, C Yuan, P Sun, L Han
IEEE Transactions on Games, 2023
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