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Yitao Liang
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A semantic loss function for deep learning with symbolic knowledge
J Xu, Z Zhang, T Friedman, Y Liang, G Broeck
International conference on machine learning, 5502-5511, 2018
5252018
Describe, explain, plan and select: interactive planning with LLMs enables open-world multi-task agents
Z Wang, S Cai, G Chen, A Liu, XS Ma, Y Liang
Advances in Neural Information Processing Systems 36, 2024
236*2024
Horizon: Facebook's open source applied reinforcement learning platform
J Gauci, E Conti, Y Liang, K Virochsiri, Y He, Z Kaden, V Narayanan, X Ye, ...
arXiv preprint arXiv:1811.00260, 2018
1572018
State of the art control of atari games using shallow reinforcement learning
Y Liang, MC Machado, E Talvitie, M Bowling
Proceedings of the 15th International Conference on Autonomous Agents and …, 2015
1412015
Learning the structure of probabilistic sentential decision diagrams
Y Liang, J Bekker, G Van den Broeck
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence …, 2017
1082017
Sqa3d: Situated question answering in 3d scenes
X Ma, S Yong, Z Zheng, Q Li, Y Liang, SC Zhu, S Huang
International Conference on Learning Representations, 2022
642022
Learning logistic circuits
Y Liang, G Van den Broeck
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4277-4286, 2019
632019
What to expect of classifiers? reasoning about logistic regression with missing features
P Khosravi, Y Liang, YJ Choi, GV Broeck
Proceedings of the 28th International Joint Conference on Artificial …, 2019
532019
On tractable computation of expected predictions
P Khosravi, YJ Choi, Y Liang, A Vergari, G Van den Broeck
Advances in Neural Information Processing Systems 32, 2019
522019
Sam: Squeeze-and-mimic networks for conditional visual driving policy learning
A Zhao, T He, Y Liang, H Huang, G Van den Broeck, S Soatto
Conference on Robot Learning, 156-175, 2021
40*2021
ProAgent: building proactive cooperative agents with large language models
C Zhang, K Yang, S Hu, Z Wang, G Li, Y Sun, C Zhang, Z Zhang, A Liu, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17591 …, 2024
38*2024
Handling missing data in decision trees: A probabilistic approach
P Khosravi, A Vergari, YJ Choi, Y Liang, GV Broeck
arXiv preprint arXiv:2006.16341, 2020
352020
Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models
Z Wang, S Cai, A Liu, Y Jin, J Hou, B Zhang, H Lin, Z He, Z Zheng, Y Yang, ...
arXiv preprint arXiv:2311.05997, 2023
332023
Inference aided reinforcement learning for incentive mechanism design in crowdsourcing
Z Hu, Y Liang, J Zhang, Z Li, Y Liu
Advances in Neural Information Processing Systems 31, 2018
312018
Large language models are in-context semantic reasoners rather than symbolic reasoners
X Tang, Z Zheng, J Li, F Meng, SC Zhu, Y Liang, M Zhang
arXiv preprint arXiv:2305.14825, 2023
302023
Juice: A julia package for logic and probabilistic circuits
M Dang, P Khosravi, Y Liang, A Vergari, G Van den Broeck
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16020 …, 2021
292021
Open-world multi-task control through goal-aware representation learning and adaptive horizon prediction
S Cai, Z Wang, X Ma, A Liu, Y Liang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
242023
Unifying Probabilistic Reasoning, Learning, and Classification with Circuit Representations
Y Liang
University of California, Los Angeles, 2021
24*2021
Groot: Learning to follow instructions by watching gameplay videos
S Cai, B Zhang, Z Wang, X Ma, A Liu, Y Liang
International Conference on Learning Representations, 2023
132023
Understanding the distillation process from deep generative models to tractable probabilistic circuits
X Liu, A Liu, G Van den Broeck, Y Liang
International Conference on Machine Learning, 21825-21838, 2023
82023
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