Liu, Jiashun

9 publications

AAAI 2025 Flow Factorization for Efficient Generative Flow Networks Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan

NeurIPS 2025 Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization Ziqi Wang, Jiashun Liu, Ling Pan

NeurIPS 2025 Measure Gradients, Not Activations! Enhancing Neuronal Activity in Deep Reinforcement Learning Jiashun Liu, Zihao Wu, Johan Obando-Ceron, Pablo Samuel Castro, Aaron Courville, Ling Pan

ICLR 2025 Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu, Johan Samir Obando Ceron, Aaron Courville, Ling Pan

ICML 2025 The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Jiashun Liu, Johan Obando-Ceron, Pablo Samuel Castro, Aaron Courville, Ling Pan

CVPR 2024 Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang

UAI 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-Based Monte Carlo Tree Search Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu

ICML 2024 Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia

NeurIPS 2024 Unlock the Intermittent Control Ability of Model Free Reinforcement Learning Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangji Lv