| 1 |
Self-Driving Car Racing: Application of Deep Reinforcement Learning |
应用深度强化学习于自动驾驶赛车，提升复杂时空动态环境下的策略学习能力 |
reinforcement learning deep reinforcement learning policy learning |
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| 2 |
Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges |
面向Open RAN边缘的实际网络管理，提出深度强化学习智能体的部署框架与优化方案 |
reinforcement learning deep reinforcement learning DRL |
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| 3 |
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation |
提出NetworkGym，用于多接入网络流量管理的强化学习环境仿真。 |
reinforcement learning TD3 offline RL |
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| 4 |
Lina-Speech: Gated Linear Attention and Initial-State Tuning for Multi-Sample Prompting Text-To-Speech Synthesis |
提出Lina-Speech以解决短语音样本的语音合成问题 |
linear attention motion adaptation |
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| 5 |
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning |
VisualPredicator：利用神经符号谓词学习抽象世界模型用于机器人规划 |
reinforcement learning world model |
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| 6 |
Learning Marmoset Vocal Patterns with a Masked Autoencoder for Robust Call Segmentation, Classification, and Caller Identification |
利用掩码自编码器预训练Transformer，提升狨猴叫声分割、分类和个体识别的鲁棒性 |
masked autoencoder MAE |
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| 7 |
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment |
在3D具身环境中评估LLM的物理常识推理能力，发现其与儿童存在差距 |
reinforcement learning deep reinforcement learning large language model |
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