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Anji Liu
Anji Liu
Ph.D. Student of Computer Science, UCLA
Verified email at cs.ucla.edu
Title
Cited by
Cited by
Year
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
231*2024
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
56*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
36*2024
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
302023
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
302020
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
232023
Tractable regularization of probabilistic circuits
A Liu, G Van den Broeck
Advances in Neural Information Processing Systems 34, 3558-3570, 2021
232021
Balance gate controlled deep neural network
A Liu, Y Laili
Neurocomputing 320, 183-194, 2018
212018
Lossless compression with probabilistic circuits
A Liu, S Mandt, G Van den Broeck
The Tenth International Conference on Learning Representations (ICLR), 2022
202022
Scaling up probabilistic circuits by latent variable distillation
A Liu, H Zhang, G Van den Broeck
The Eleventh International Conference on Learning Representations (ICLR), 2023
162023
Groot: Learning to follow instructions by watching gameplay videos
S Cai, B Zhang, Z Wang, X Ma, A Liu, Y Liang
arXiv preprint arXiv:2310.08235, 2023
132023
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
112022
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
82022
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
72023
On effective parallelization of monte carlo tree search
A Liu, Y Liang, J Liu, GV Broeck, J Chen
arXiv preprint arXiv:2006.08785, 2020
62020
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
52023
Tractable and Expressive Generative Models of Genetic Variation Data
M Dang, A Liu, X Wei, S Sankararaman, G Van den Broeck
Proceedings of the International Conference on Research in Computational …, 2022
42022
Rat: Retrieval augmented thoughts elicit context-aware reasoning in long-horizon generation
Z Wang, A Liu, H Lin, J Li, X Ma, Y Liang
arXiv preprint arXiv:2403.05313, 2024
32024
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
22020
Image Inpainting via Tractable Steering of Diffusion Models
A Liu, M Niepert, GV Broeck
arXiv preprint arXiv:2401.03349, 2023
12023
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Articles 1–20