| 1 |
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay |
提出双生成回放框架以解决持续离线强化学习中的遗忘问题 |
reinforcement learning offline reinforcement learning behavior cloning |
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| 2 |
Continuous Control Reinforcement Learning: Distributed Distributional DrQ Algorithms |
提出分布式分布式DrQ算法以提升连续控制任务性能 |
reinforcement learning |
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| 3 |
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence |
提出EMC$^2$以解决对比学习中的负样本生成问题 |
contrastive learning |
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| 4 |
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning |
提出Tripod模型以解决解耦表示学习中的偏置问题 |
representation learning |
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| 5 |
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning |
提出动态公平性概念以解决强化学习中的不公平问题 |
reinforcement learning |
✅ |
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| 6 |
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning |
提出随机化探索算法以解决合作多智能体强化学习中的效率问题 |
reinforcement learning |
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| 7 |
Automatic re-calibration of quantum devices by reinforcement learning |
提出基于强化学习的量子设备自动再校准方法 |
reinforcement learning |
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| 8 |
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer |
提出AGHINT以解决异构信息网络中节点属性差异问题 |
representation learning |
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| 9 |
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback |
提出社会选择理论以解决AI对多样人类反馈的对齐问题 |
reinforcement learning foundation model |
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