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Ling Pan
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2020 – today
- 2024
- [j10]Ling Pan, Bing Shen
, Peng Zhang, Xiaofeng Zou, Qian Feng:
Premium Power Service for Custom Power Devices Based on Trial-Purchase Model. IEEE Access 12: 81541-81549 (2024) - [j9]Yuanni Liu
A hierarchical blockchain-enabled security-threat assessment architecture for IoV. Digit. Commun. Networks 10(4): 1035-1047 (2024) - [j8]Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio:
Distributional GFlowNets with Quantile Flows. Trans. Mach. Learn. Res. 2024 (2024) - [j7]Pihe Hu
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. IEEE/ACM Trans. Netw. 32(3): 2344-2359 (2024) - [c17]Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio:
Pre-Training and Fine-Tuning Generative Flow Networks. ICLR 2024 - [c16]Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio:
Learning to Scale Logits for Temperature-Conditional GFlowNets. ICML 2024 - [c15]Qingpeng Cai
AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR 2024: 3025-3028 - [i32]Zarif Ikram, Ling Pan, Dianbo Liu:
Evolution Guided Generative Flow Networks. CoRR abs/2402.02186 (2024) - [i31]Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio:
QGFN: Controllable Greediness with Action Values. CoRR abs/2402.05234 (2024) - [i30]Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li:
Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning. CoRR abs/2402.14407 (2024) - [i29]Haoran He, Can Chang, Huazhe Xu, Ling Pan:
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. CoRR abs/2406.01150 (2024) - [i28]Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan:
Bifurcated Generative Flow Networks. CoRR abs/2406.01901 (2024) - [i27]Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan:
Rectifying Reinforcement Learning for Reward Matching. CoRR abs/2406.02213 (2024) - [i26]Xiaoye Wang, Nicole Xi Zhang, Hongyu He, Trang Nguyen, Kun-Hsing Yu, Hao Deng, Cynthia Brandt, Danielle S. Bitterman, Ling Pan, Ching-Yu Cheng, James Zou, Dianbo Liu:
Safety challenges of AI in medicine. CoRR abs/2409.18968 (2024) - [i25]Pihe Hu, Shaolong Li, Zhuoran Li, Ling Pan, Longbo Huang:
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training. CoRR abs/2409.19391 (2024) - [i24]Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan:
Neuroplastic Expansion in Deep Reinforcement Learning. CoRR abs/2410.07994 (2024) - [i23]Xinran Li, Ling Pan, Jun Zhang:
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning. CoRR abs/2410.08540 (2024) - 2023
- [j6]Zhuoran Li
Network Topology Optimization via Deep Reinforcement Learning. IEEE Trans. Commun. 71(5): 2847-2859 (2023) - [c14]Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio:
Generative Augmented Flow Networks. ICLR 2023 - [c13]Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang:
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. ICLR 2023 - [c12]Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio:
Better Training of GFlowNets with Local Credit and Incomplete Trajectories. ICML 2023: 26878-26890 - [c11]Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan:
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets. NeurIPS 2023 - [c10]Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio:
Stochastic Generative Flow Networks. UAI 2023: 1628-1638 - [i22]Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio:
Better Training of GFlowNets with Local Credit and Incomplete Trajectories. CoRR abs/2302.01687 (2023) - [i21]Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio:
Distributional GFlowNets with Quantile Flows. CoRR abs/2302.05793 (2023) - [i20]Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio:
Stochastic Generative Flow Networks. CoRR abs/2302.09465 (2023) - [i19]Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan:
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets. CoRR abs/2305.17010 (2023) - [i18]Zhuoran Li, Ling Pan, Longbo Huang:
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. CoRR abs/2307.01472 (2023) - [i17]Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio:
Learning to Scale Logits for Temperature-Conditional GFlowNets. CoRR abs/2310.02823 (2023) - [i16]Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio:
Pre-Training and Fine-Tuning Generative Flow Networks. CoRR abs/2310.03419 (2023) - [i15]Zarif Ikram
Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries. CoRR abs/2310.03687 (2023) - [i14]Yiqin Tan, Ling Pan, Longbo Huang:
One is More: Diverse Perspectives within a Single Network for Efficient DRL. CoRR abs/2310.14009 (2023) - 2022
- [j5]Min Hu, Qiao Li
An Intelligent Decision Framework for Loan Allocation Schemes. J. Circuits Syst. Comput. 31(14): 2250250:1-2250250:13 (2022) - [c9]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML 2022: 17221-17237 - [c8]Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. MobiHoc 2022: 1-10 - [c7]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS 2022 - [i13]Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang:
Network Topology Optimization via Deep Reinforcement Learning. CoRR abs/2204.14133 (2022) - [i12]Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang:
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. CoRR abs/2205.15043 (2022) - [i11]Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. CoRR abs/2208.14074 (2022) - [i10]Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio:
Generative Augmented Flow Networks. CoRR abs/2210.03308 (2022) - [i9]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR abs/2212.02064 (2022) - 2021
- [j4]Ling Pan
Exploration in policy optimization through multiple paths. Auton. Agents Multi Agent Syst. 35(2): 33 (2021) - [j3]Ling Pan, Zeshui Xu, Peijia Ren:
DEA cross-efficiency framework for efficiency evaluation with probabilistic linguistic term sets. J. Oper. Res. Soc. 72(5): 1191-1206 (2021) - [c6]Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson:
Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS 2021: 1365-1377 - [i8]Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson:
Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR abs/2103.11883 (2021) - [i7]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR abs/2111.11188 (2021) - 2020
- [j2]Xiaoying Zhang
Using Virtual Reality Technology to Visualize Management of College Assets in the Internet of Things Environment. IEEE Access 8: 157089-157102 (2020) - [c5]Qingpeng Cai, Ling Pan, Pingzhong Tang:
Deterministic Value-Policy Gradients. AAAI 2020: 3316-3323 - [c4]Ling Pan, Qingpeng Cai, Longbo Huang:
Multi-Path Policy Optimization. AAMAS 2020: 1001-1009 - [c3]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI 2020: 1992-1998 - [c2]Ling Pan, Qingpeng Cai, Longbo Huang:
Softmax Deep Double Deterministic Policy Gradients. NeurIPS 2020 - [i6]Ling Pan, Qingpeng Cai, Longbo Huang:
Softmax Deep Double Deterministic Policy Gradients. CoRR abs/2010.09177 (2020)
2010 – 2019
- 2019
- [c1]Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. AAAI 2019: 1393-1400 - [i5]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR abs/1903.05926 (2019) - [i4]Qingpeng Cai, Ling Pan, Pingzhong Tang:
Deterministic Value-Policy Gradients. CoRR abs/1909.03939 (2019) - [i3]Ling Pan, Qingpeng Cai, Longbo Huang:
Multi-Path Policy Optimization. CoRR abs/1911.04207 (2019) - 2018
- [i2]Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
Rebalancing Dockless Bike Sharing Systems. CoRR abs/1802.04592 (2018) - [i1]Qingpeng Cai, Ling Pan, Pingzhong Tang:
Generalized deterministic policy gradient algorithms. CoRR abs/1807.03708 (2018) - 2017
- [j1]Juanjuan Zhao, Ling Pan, Pengfei Zhao, Xiao-Xian Tang:
Medical Sign Recognition of Lung Nodules Based on Image Retrieval with Semantic Features and Supervised Hashing. J. Comput. Sci. Technol. 32(3): 457-469 (2017)
Coauthor Index
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last updated on 2024-11-19 20:46 CET by the dblp team
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