Shaohui Peng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Hierarchically Structured

Variance Reduction

Reinforcement Learning

Memory Management

Top Venues

Publications

Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yifan Hao, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Ling Li, Yunji Chen
Assessing and Understanding Creativity in Large Language Models. CoRR (2024)
Huang Lei, Jiaming Guo, Guanhua He, Xishan Zhang, Rui Zhang, Shaohui Peng, Shaoli Liu, Tianshi Chen
Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding. ACL (1) (2024)
Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, QiCheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Prompt-based Visual Alignment for Zero-shot Policy Transfer. CoRR (2024)
Yuxuan Guo, Shaohui Peng, Jiaming Guo, Di Huang, Xishan Zhang, Rui Zhang, Yifan Hao, Ling Li, Zikang Tian, Mingju Gao, Yutai Li, Yiming Gan, Shuai Liang, Zihao Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification. CoRR (2024)
Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
Emergent Communication for Numerical Concepts Generalization. AAAI (2024)
Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning. AAAI (2024)
Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. AAAI (2024)
Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen
Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning. NeurIPS (2023)
Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li
Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning. CoRR (2023)
Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen
ANPL: Compiling Natural Programs with Interactive Decomposition. CoRR (2023)
Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. CoRR (2023)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Ruizhi Chen, Ling Li, Yunji Chen
Learning controllable elements oriented representations for reinforcement learning. Neurocomputing 549 (2023)
Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Conceptual Reinforcement Learning for Language-Conditioned Tasks. AAAI (2023)
Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
Emergent Communication for Rules Reasoning. NeurIPS (2023)
Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen
ANPL: Towards Natural Programming with Interactive Decomposition. NeurIPS (2023)
Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. NeurIPS (2023)
Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen
Context Shift Reduction for Offline Meta-Reinforcement Learning. CoRR (2023)
Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen
Context Shift Reduction for Offline Meta-Reinforcement Learning. NeurIPS (2023)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Online Prototype Alignment for Few-shot Policy Transfer. CoRR (2023)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Online Prototype Alignment for Few-shot Policy Transfer. ICML (2023)
Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. NeurIPS (2023)
Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. CoRR (2023)
Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Conceptual Reinforcement Learning for Language-Conditioned Tasks. CoRR (2023)
Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
Emergent Communication for Rules Reasoning. CoRR (2023)
Xiaobing Chen, Hao Qi, Shaohui Peng, Yimin Zhuang, Tian Zhi, Yunji Chen
Tetris: A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators. J. Comput. Sci. Technol. 37 (6) (2022)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Object-Category Aware Reinforcement Learning. CoRR (2022)
Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. CoRR (2022)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Object-Category Aware Reinforcement Learning. NeurIPS (2022)
Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. NeurIPS (2022)
Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. CoRR (2021)
Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. IJCAI (2021)
Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. CoRR (2021)
Xiaobing Chen, Shaohui Peng, Luyang Jin, Yimin Zhuang, Jin Song, Weijian Du, Shaoli Liu, Tian Zhi
Partition and Scheduling Algorithms for Neural Network Accelerators. APPT (2019)
Yimin Zhuang, Shaohui Peng, Xiaobing Chen, Shengyuan Zhou, Tian Zhi, Wei Li, Shaoli Liu
Deep Fusion: A Software Scheduling Method for Memory Access Optimization. NPC (2019)