Ling Pan

Orcid: 0000-0002-4413-281X

According to our database1, Ling Pan authored at least 47 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning.
IEEE/ACM Trans. Netw., June, 2024

Distributional GFlowNets with Quantile Flows.
Trans. Mach. Learn. Res., 2024

A hierarchical blockchain-enabled security-threat assessment architecture for IoV.
Digit. Commun. Networks, 2024

Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning.
CoRR, 2024

Neuroplastic Expansion in Deep Reinforcement Learning.
CoRR, 2024

Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training.
CoRR, 2024

Safety challenges of AI in medicine.
CoRR, 2024

Rectifying Reinforcement Learning for Reward Matching.
CoRR, 2024

Bifurcated Generative Flow Networks.
CoRR, 2024

Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets.
CoRR, 2024

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning.
CoRR, 2024

QGFN: Controllable Greediness with Action Values.
CoRR, 2024

Evolution Guided Generative Flow Networks.
CoRR, 2024

Premium Power Service for Custom Power Devices Based on Trial-Purchase Model.
IEEE Access, 2024

AgentIR: 1st Workshop on Agent-based Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Learning to Scale Logits for Temperature-Conditional GFlowNets.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pre-Training and Fine-Tuning Generative Flow Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Network Topology Optimization via Deep Reinforcement Learning.
IEEE Trans. Commun., May, 2023

One is More: Diverse Perspectives within a Single Network for Efficient DRL.
CoRR, 2023

Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries.
CoRR, 2023

Learning to Scale Logits for Temperature-Conditional GFlowNets.
CoRR, 2023

Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning.
CoRR, 2023

Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets.
CoRR, 2023

Stochastic Generative Flow Networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets.
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.
Proceedings of the International Conference on Machine Learning, 2023

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generative Augmented Flow Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
An Intelligent Decision Framework for Loan Allocation Schemes.
J. Circuits Syst. Comput., 2022

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.
CoRR, 2022

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

2021
DEA cross-efficiency framework for efficiency evaluation with probabilistic linguistic term sets.
J. Oper. Res. Soc., 2021

Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning.
CoRR, 2021

Exploration in policy optimization through multiple paths.
Auton. Agents Multi Agent Syst., 2021

Regularized Softmax Deep Multi-Agent Q-Learning.
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.
IEEE Access, 2020

Softmax Deep Double Deterministic Policy Gradients.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Path Policy Optimization.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Deterministic Value-Policy Gradients.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Reinforcement Learning with Dynamic Boltzmann Softmax Updates.
CoRR, 2019

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Generalized deterministic policy gradient algorithms.
CoRR, 2018

Rebalancing Dockless Bike Sharing Systems.
CoRR, 2018

2017
Medical Sign Recognition of Lung Nodules Based on Image Retrieval with Semantic Features and Supervised Hashing.
J. Comput. Sci. Technol., 2017


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