| 1 |
Localized Symbolic Knowledge Distillation for Visual Commonsense Models |
提出局部化符号知识蒸馏方法，提升视觉常识模型对图像区域的推理能力 |
distillation large language model multimodal |
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| 2 |
Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning |
针对恶意软件攻击，提出基于专家知识和深度强化学习的弹性无人机通信网络防御策略 |
reinforcement learning deep reinforcement learning |
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| 3 |
Exploring Parity Challenges in Reinforcement Learning through Curriculum Learning with Noisy Labels |
提出带噪声标签的课程学习方法，探索强化学习在奇偶性挑战中的问题 |
reinforcement learning curriculum learning |
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| 4 |
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning |
提出LAW框架，融合语言、智能体与世界模型，提升机器推理与规划能力 |
world model large language model |
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| 5 |
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence |
DARLEI：利用进化智能加速深度强化学习，实现UNIMAL智能体形态演化 |
reinforcement learning PPO |
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| 6 |
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering |
提出HCRC模型，通过混合图对比学习和强化增量聚类实现无监督社交事件检测。 |
contrastive learning |
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| 7 |
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions |
开发并评估全自动和混合交通条件下的自动驾驶车辆 |
reinforcement learning deep reinforcement learning |
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