Anji Liu
Anji Liu
Ph.D. Student of Computer Science, UCLA
Verified email at
Cited by
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Describe, explain, plan and select: Interactive planning with large language models enables open-world multi-task agents
Z Wang, S Cai, A Liu, X Ma, Y Liang
arXiv preprint arXiv:2302.01560, 2023
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
A Vergari, YJ Choi, A Liu, S Teso, G Van den Broeck
Advances in Neural Information Processing Systems 34, 2021
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search
A Liu, J Chen, M Yu, Y Zhai, X Zhou, J Liu
International Conference on Learning Representations (ICLR), 2020
Balance gate controlled deep neural network
A Liu, Y Laili
Neurocomputing 320, 183-194, 2018
Tractable regularization of probabilistic circuits
A Liu, G Van den Broeck
Advances in Neural Information Processing Systems 34, 3558-3570, 2021
Lossless compression with probabilistic circuits
A Liu, S Mandt, GV Broeck
arXiv preprint arXiv:2111.11632, 2021
Sparse probabilistic circuits via pruning and growing
M Dang, A Liu, G Van den Broeck
Advances in Neural Information Processing Systems 35, 28374-28385, 2022
Scaling up probabilistic circuits by latent variable distillation
A Liu, H Zhang, GV Broeck
arXiv preprint arXiv:2210.04398, 2022
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
On effective parallelization of monte carlo tree search
A Liu, Y Liang, J Liu, GV Broeck, J Chen
arXiv preprint arXiv:2006.08785, 2020
Efficient meta reinforcement learning for preference-based fast adaptation
Z Ren, A Liu, Y Liang, J Peng, J Ma
Advances in Neural Information Processing Systems 35, 15502-15515, 2022
Tractable and expressive generative models of genetic variation data
M Dang, A Liu, X Wei, S Sankararaman, G Van den Broeck
bioRxiv, 2023.05. 16.541036, 2023
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration
A Liu, Y Liang, G Van den Broeck
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020
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
Out-of-distribution generalization by neural-symbolic joint training
A Liu, H Xu, G Van den Broeck, Y Liang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12252 …, 2023
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