| 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 | 343* | 2024 |
| 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 | 71* | 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 | 68* | 2021 |
| 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 | 66 | 2023 |
| 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 | 35 | 2023 |
| 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 | 35 | 2020 |
| Tractable regularization of probabilistic circuits A Liu, G Van den Broeck Advances in Neural Information Processing Systems 34, 3558-3570, 2021 | 28 | 2021 |
| 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 | 26 | 2023 |
| Lossless compression with probabilistic circuits A Liu, S Mandt, G Van den Broeck The Tenth International Conference on Learning Representations (ICLR), 2022 | 22 | 2022 |
| Balance gate controlled deep neural network A Liu, Y Laili Neurocomputing 320, 183-194, 2018 | 21 | 2018 |
| 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 | 20 | 2024 |
| 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 | 20 | 2023 |
| 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 | 16 | 2022 |
| 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 | 11 | 2022 |
| 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 | 10 | 2023 |
| 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 | 10 | 2022 |
| On effective parallelization of monte carlo tree search A Liu, Y Liang, J Liu, GV Broeck, J Chen arXiv preprint arXiv:2006.08785, 2020 | 8 | 2020 |
| 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 | 7 | 2023 |
| Image Inpainting via Tractable Steering of Diffusion Models A Liu, M Niepert, GV Broeck arXiv preprint arXiv:2401.03349, 2023 | 4 | 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 | 4 | 2020 |
Yitao LiangPeking UniversityVerified email at pku.edu.cn
