212 results on '"Ling, Pan"'
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2. A hierarchical blockchain-enabled security-threat assessment architecture for IoV.
3. Premium Power Service for Custom Power Devices Based on Trial-Purchase Model.
4. Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning.
5. Learning to Scale Logits for Temperature-Conditional GFlowNets.
6. Pre-Training and Fine-Tuning Generative Flow Networks.
7. Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training.
8. Neuroplastic Expansion in Deep Reinforcement Learning.
9. Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning.
10. Safety challenges of AI in medicine.
11. Distributional GFlowNets with Quantile Flows.
12. Rectifying Reinforcement Learning for Reward Matching.
13. QGFN: Controllable Greediness with Action Values.
14. Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning.
15. Bifurcated Generative Flow Networks.
16. Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets.
17. Evolution Guided Generative Flow Networks.
18. Stochastic Generative Flow Networks.
19. Better Training of GFlowNets with Local Credit and Incomplete Trajectories.
20. Network Topology Optimization via Deep Reinforcement Learning.
21. Is AI a strategic IS? Reflections and opportunities for research.
22. Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning.
23. Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification.
24. Generative Augmented Flow Networks.
25. RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.
26. Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets.
27. An Intelligent Decision Framework for Loan Allocation Schemes.
28. Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries.
29. Learning to Scale Logits for Temperature-Conditional GFlowNets.
30. Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning.
31. Distributional GFlowNets with Quantile Flows.
32. Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets.
33. Better Training of GFlowNets with Local Credit and Incomplete Trajectories.
34. Stochastic Generative Flow Networks.
35. Pre-Training and Fine-Tuning Generative Flow Networks.
36. One is More: Diverse Perspectives within a Single Network for Efficient DRL.
37. CenhANCER: a comprehensive cancer enhancer database for primary tissues and cell lines.
38. Regularized Softmax Deep Multi-Agent Q-Learning.
39. Untrimmed Operator Standard Cleaning Action Parsing Based on Deep Learning Method.
40. Constructing a Customized Travel Scheduling Recommendation Service Based on Personal Preference and Special Requirements.
41. Reinforcement Learning with Dynamic Boltzmann Softmax Updates.
42. Multi-Path Policy Optimization.
43. Deterministic Value-Policy Gradients.
44. E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance.
45. Designing a Virtual Reality Video for Disability Inclusion: An Action Design Research.
46. DEA cross-efficiency framework for efficiency evaluation with probabilistic linguistic term sets.
47. A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems.
48. Using Virtual Reality Technology to Visualize Management of College Assets in the Internet of Things Environment.
49. Network Topology Optimization via Deep Reinforcement Learning.
50. Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning.
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