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
International Conference on Learning Representations (ICLR 2019), 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, ...
International Conference on Learning Representations (ICLR 2024), 2024
Universal agent for disentangling environments and tasks
J Mao, H Dong, JJ Lim
International Conference on Learning Representations (ICLR 2018), 2018
The Fittest Wins: A Multistage 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 16 (1), 225-234, 2023
Explicit recall for efficient exploration
H Dong, J Mao, X Cui, L Li
Assessing Code Generation with Intermediate Languages
X Deng, S Zhong, H Dong, J Hu, SM Beillahi, X Si, F Long
arXiv preprint arXiv:2407.05411, 2024
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
H Dong, Q Su, Y Gao, Z Li, Y Ruan, G Pekhimenko, CJ Maddison, X Si
arXiv preprint arXiv:2406.13161, 2024
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 (NeurIPS 2023) 36, 2023
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
Enhancing and Evaluating Logical Reasoning Abilities of Large Language Models
S Deng, H Dong, X Si
ICLR 2024 Workshop on Secure and Trustworthy Large Language Models, 0
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