| 1 |
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control |
提出数据高效的深度强化学习方法以解决车辆轨迹控制问题 |
reinforcement learning deep reinforcement learning SAC |
|
|
| 2 |
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation |
提出SCOPE-RL以解决离线强化学习与评估整合问题 |
reinforcement learning policy learning offline RL |
|
|
| 3 |
Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning |
提出新型离策略深度强化学习方法以解决混合奖励问题 |
reinforcement learning deep reinforcement learning policy learning |
|
|
| 4 |
Optimizing ZX-Diagrams with Deep Reinforcement Learning |
将深度强化学习应用于ZX图优化问题 |
reinforcement learning deep reinforcement learning |
|
|
| 5 |
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks |
提出变分贝叶斯神经网络以提升图对比学习的不确定性估计 |
contrastive learning |
|
|
| 6 |
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information |
提出一种生成模型以增强喷流生成的多样性与准确性 |
flow matching |
|
|
| 7 |
Pre-registration for Predictive Modeling |
提出预注册以解决预测建模中的可重复性问题 |
predictive model |
|
|
| 8 |
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers |
提出HOT模型以解决动态图表示学习中的链接预测问题 |
representation learning |
|
|
| 9 |
Anomaly Detection via Learning-Based Sequential Controlled Sensing |
提出基于学习的顺序控制感知方法以解决异常检测问题 |
reinforcement learning deep reinforcement learning |
|
|
| 10 |
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels |
提出在线优化框架以解决动态信道下的特征传输问题 |
reinforcement learning deep reinforcement learning |
|
|