Ling Pan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 53

Top Topics

Combinatorial Problems

Reinforcement Learning

Regularized Kernel

Top Venues

Publications

Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR (2024)
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 (2024)
Zarif Ikram, Ling Pan, Dianbo Liu
Evolution Guided Generative Flow Networks. CoRR (2024)
Haoran He, Can Chang, Huazhe Xu, Ling Pan
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. CoRR (2024)
Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan
Rectifying Reinforcement Learning for Reward Matching. CoRR (2024)
Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio
QGFN: Controllable Greediness with Action Values. CoRR (2024)
Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan
Bifurcated Generative Flow Networks. CoRR (2024)
Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. IEEE/ACM Trans. Netw. 32 (3) (2024)
Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio
Pre-Training and Fine-Tuning Generative Flow Networks. ICLR (2024)
Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio
Distributional GFlowNets with Quantile Flows. Trans. Mach. Learn. Res. 2024 (2024)
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 (2024)
Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
Stochastic Generative Flow Networks. CoRR (2023)
Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio
Better Training of GFlowNets with Local Credit and Incomplete Trajectories. ICML (2023)
Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. ICLR (2023)
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)
Yiqin Tan, Ling Pan, Longbo Huang
One is More: Diverse Perspectives within a Single Network for Efficient DRL. CoRR (2023)
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 (2023)
Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio
Better Training of GFlowNets with Local Credit and Incomplete Trajectories. CoRR (2023)
Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio
Distributional GFlowNets with Quantile Flows. CoRR (2023)
Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio
Pre-Training and Fine-Tuning Generative Flow Networks. CoRR (2023)
Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio
Generative Augmented Flow Networks. ICLR (2023)
Zarif Ikram, Ling Pan, Dianbo Liu
Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries. CoRR (2023)
Zhuoran Li, Ling Pan, Longbo Huang
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. CoRR (2023)
Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
Stochastic Generative Flow Networks. UAI (2023)
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 (2023)
Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
Network Topology Optimization via Deep Reinforcement Learning. IEEE Trans. Commun. 71 (5) (2023)
Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML (2022)
Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
Network Topology Optimization via Deep Reinforcement Learning. CoRR (2022)
Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. MobiHoc (2022)
Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS (2022)
Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. CoRR (2022)
Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR (2022)
Min Hu, Qiao Li, Ling Pan
An Intelligent Decision Framework for Loan Allocation Schemes. J. Circuits Syst. Comput. 31 (14) (2022)
Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. CoRR (2022)
Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio
Generative Augmented Flow Networks. CoRR (2022)
Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR (2021)
Ling Pan, Qingpeng Cai, Longbo Huang
Exploration in policy optimization through multiple paths. Auton. Agents Multi Agent Syst. 35 (2) (2021)
Ling Pan, Zeshui Xu, Peijia Ren
DEA cross-efficiency framework for efficiency evaluation with probabilistic linguistic term sets. J. Oper. Res. Soc. 72 (5) (2021)
Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS (2021)
Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR (2021)
Ling Pan, Qingpeng Cai, Longbo Huang
Multi-Path Policy Optimization. AAMAS (2020)
Qingpeng Cai, Ling Pan, Pingzhong Tang
Deterministic Value-Policy Gradients. AAAI (2020)
Xiaoying Zhang, Bing Zheng, Ling Pan
Using Virtual Reality Technology to Visualize Management of College Assets in the Internet of Things Environment. IEEE Access 8 (2020)
Ling Pan, Qingpeng Cai, Longbo Huang
Softmax Deep Double Deterministic Policy Gradients. CoRR (2020)
Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI (2020)
Ling Pan, Qingpeng Cai, Longbo Huang
Softmax Deep Double Deterministic Policy Gradients. NeurIPS (2020)
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. AAAI (2019)
Ling Pan, Qingpeng Cai, Longbo Huang
Multi-Path Policy Optimization. CoRR (2019)
Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR (2019)
Qingpeng Cai, Ling Pan, Pingzhong Tang
Deterministic Value-Policy Gradients. CoRR (2019)
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
Rebalancing Dockless Bike Sharing Systems. CoRR (2018)
Qingpeng Cai, Ling Pan, Pingzhong Tang
Generalized deterministic policy gradient algorithms. CoRR (2018)
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) (2017)