Ling Pan

According to our database, Ling Pan authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning.

Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li

CoRR, 2024

QGFN: Controllable Greediness with Action Values.

Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio

CoRR, 2024

Evolution Guided Generative Flow Networks.

Zarif Ikram, Ling Pan, Dianbo Liu

CoRR, 2024

2023

Network Topology Optimization via Deep Reinforcement Learning.

Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang

IEEE Trans. Commun., May, 2023

One is More: Diverse Perspectives within a Single Network for Efficient DRL.

Yiqin Tan, Ling Pan, Longbo Huang

CoRR, 2023

Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries.

Zarif Ikram, Ling Pan, Dianbo Liu

CoRR, 2023

Pre-Training and Fine-Tuning Generative Flow Networks.

Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio

CoRR, 2023

Learning to Scale Logits for Temperature-Conditional GFlowNets.

Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio

CoRR, 2023

Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning.

Zhuoran Li, Ling Pan, Longbo Huang

CoRR, 2023

Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets.

Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan

CoRR, 2023

Distributional GFlowNets with Quantile Flows.

Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron C. Courville, Yoshua Bengio

CoRR, 2023

Stochastic Generative Flow Networks.

Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets.

Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Better Training of GFlowNets with Local Credit and Incomplete Trajectories.

Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio

Proceedings of the International Conference on Machine Learning, 2023

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.

Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generative Augmented Flow Networks.

Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

An Intelligent Decision Framework for Loan Allocation Schemes.

Min Hu, Qiao Li, Ling Pan

J. Circuits Syst. Comput., 2022

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.

Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang

CoRR, 2022

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance.

Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning.

Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification.

Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu

Proceedings of the International Conference on Machine Learning, 2022

2021

DEA cross-efficiency framework for efficiency evaluation with probabilistic linguistic term sets.

Ling Pan, Zeshui Xu, Peijia Ren

J. Oper. Res. Soc., 2021

Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning.

Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson

CoRR, 2021

Exploration in policy optimization through multiple paths.

Ling Pan, Qingpeng Cai, Longbo Huang

Auton. Agents Multi Agent Syst., 2021

Regularized Softmax Deep Multi-Agent Q-Learning.

Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Using Virtual Reality Technology to Visualize Management of College Assets in the Internet of Things Environment.

Xiaoying Zhang, Bing Zheng, Ling Pan

IEEE Access, 2020

Softmax Deep Double Deterministic Policy Gradients.

Ling Pan, Qingpeng Cai, Longbo Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.

Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Path Policy Optimization.

Ling Pan, Qingpeng Cai, Longbo Huang

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Deterministic Value-Policy Gradients.

Qingpeng Cai, Ling Pan, Pingzhong Tang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.

Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu

CoRR, 2019

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems.

Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Generalized deterministic policy gradient algorithms.

Qingpeng Cai, Ling Pan, Pingzhong Tang

CoRR, 2018

Rebalancing Dockless Bike Sharing Systems.

Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang

CoRR, 2018

2017

Medical Sign Recognition of Lung Nodules Based on Image Retrieval with Semantic Features and Supervised Hashing.

Juanjuan Zhao, Ling Pan, Pengfei Zhao, Xiao-Xian Tang

J. Comput. Sci. Technol., 2017