| 1 |
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning |
提出潜在部分因果模型以解决多模态学习中的DAG局限性 |
representation learning contrastive learning multimodal |
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| 2 |
Corruption Robust Offline Reinforcement Learning with Human Feedback |
提出抗干扰的离线强化学习方法以应对人类反馈数据腐败问题 |
reinforcement learning offline RL offline reinforcement learning |
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| 3 |
Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement |
提出熵正则化的令牌级策略优化以解决语言代理强化学习中的不稳定性问题 |
reinforcement learning PPO RLHF |
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| 4 |
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss |
提出Premier-TACO以提升少样本策略学习效率 |
policy learning imitation learning representation learning |
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| 5 |
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning |
提出基于深度强化学习的多租户云服务QoS管理方案 |
reinforcement learning deep reinforcement learning |
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| 6 |
Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning |
提出HOME-GCL以解决多类别地图实体表示学习问题 |
representation learning contrastive learning |
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| 7 |
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning |
提出ExGRG以解决图结构数据自监督学习中的关系生成问题 |
representation learning |
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| 8 |
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks |
提出基于强化学习的图神经网络欺骗路径规划方法 |
reinforcement learning |
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| 9 |
V-STaR: Training Verifiers for Self-Taught Reasoners |
提出V-STaR以提升自我学习推理器的准确性 |
DPO large language model |
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| 10 |
High-Precision Geosteering via Reinforcement Learning and Particle Filters |
提出基于强化学习与粒子滤波的高精度地质导向方法 |
reinforcement learning |
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| 11 |
Issues with Value-Based Multi-objective Reinforcement Learning: Value Function Interference and Overestimation Sensitivity |
探讨价值基础多目标强化学习中的干扰与过估计敏感性问题 |
reinforcement learning |
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| 12 |
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition |
提出POTEC以解决大动作空间中的离线策略学习问题 |
policy learning |
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