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| DWM: A decomposable Winograd method for convolution acceleration D Huang, X Zhang, R Zhang, T Zhi, D He, J Guo, C Liu, Q Guo, Z Du, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4174-4181, 2020 | 27 | 2020 |
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| Causality-driven hierarchical structure discovery for reinforcement learning X Hu, R Zhang, K Tang, J Guo, Q Yi, R Chen, Z Du, L Li, Q Guo, Y Chen Advances in Neural Information Processing Systems 35, 20064-20076, 2022 | 10 | 2022 |
| Hindsight value function for variance reduction in stochastic dynamic environment J Guo, R Zhang, X Zhang, S Peng, Q Yi, Z Du, X Hu, Q Guo, Y Chen arXiv preprint arXiv:2107.12216, 2021 | 9 | 2021 |
| Object-category aware reinforcement learning Q Yi, R Zhang, J Guo, X Hu, Z Du, Q Guo, Y Chen Advances in Neural Information Processing Systems 35, 36453-36465, 2022 | 7 | 2022 |
| High-quality video generation from static structural annotations L Sheng, J Pan, J Guo, J Shao, CC Loy International Journal of Computer Vision 128 (10), 2552-2569, 2020 | 7 | 2020 |
| Assessing and understanding creativity in large language models Y Zhao, R Zhang, W Li, D Huang, J Guo, S Peng, Y Hao, Y Wen, X Hu, ... arXiv preprint arXiv:2401.12491, 2024 | 6 | 2024 |
| Conceptual reinforcement learning for language-conditioned tasks S Peng, X Hu, R Zhang, J Guo, Q Yi, R Chen, Z Du, L Li, Q Guo, Y Chen Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9426-9434, 2023 | 6 | 2023 |
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| Adaptive precision training: Quantify back propagation in neural networks with fixed-point numbers X Zhang, S Liu, R Zhang, C Liu, D Huang, S Zhou, J Guo, Y Kang, Q Guo, ... arXiv preprint arXiv:1911.00361, 2019 | 5 | 2019 |
| Learning controllable elements oriented representations for reinforcement learning Q Yi, R Zhang, S Peng, J Guo, X Hu, Z Du, Q Guo, R Chen, L Li, Y Chen Neurocomputing 549, 126455, 2023 | 4 | 2023 |
| Context shift reduction for offline meta-reinforcement learning Y Gao, R Zhang, J Guo, F Wu, Q Yi, S Peng, S Lan, R Chen, Z Du, X Hu, ... Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Self-driven grounding: Large language model agents with automatical language-aligned skill learning S Peng, X Hu, Q Yi, R Zhang, J Guo, D Huang, Z Tian, R Chen, Z Du, ... arXiv preprint arXiv:2309.01352, 2023 | 3 | 2023 |
| Online prototype alignment for few-shot policy transfer Q Yi, R Zhang, S Peng, J Guo, Y Gao, K Yuan, R Chen, S Lan, X Hu, Z Du, ... International Conference on Machine Learning, 39968-39983, 2023 | 3 | 2023 |
| Efficient symbolic policy learning with differentiable symbolic expression J Guo, R Zhang, S Peng, Q Yi, X Hu, R Chen, Z Du, L Li, Q Guo, Y Chen Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Decompose a task into generalizable subtasks in multi-agent reinforcement learning Z Tian, R Chen, X Hu, L Li, R Zhang, F Wu, S Peng, J Guo, Z Du, Q Guo, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
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| Contrastive modules with temporal attention for multi-task reinforcement learning S Lan, R Zhang, Q Yi, J Guo, S Peng, Y Gao, F Wu, R Chen, Z Du, X Hu, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
