| 1 |
MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations |
提出MUVO模型以提升自动驾驶中的多模态传感器融合能力 |
world model world models multimodal |
|
|
| 2 |
Robust MAE-Driven NAS: From Mask Reconstruction to Architecture Innovation |
提出无监督MAE驱动的神经架构搜索以解决标签数据依赖问题 |
masked autoencoder MAE |
|
|
| 3 |
Replay-enhanced Continual Reinforcement Learning |
提出RECALL以解决持续强化学习中的灾难性遗忘问题 |
reinforcement learning distillation |
|
|
| 4 |
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning |
提出基于表示的高效规划方法以解决部分可观测强化学习问题 |
reinforcement learning |
|
|
| 5 |
Risk-averse Batch Active Inverse Reward Design |
提出风险规避批量主动逆奖励设计以解决现实环境中的奖励函数学习问题 |
reward design |
|
|
| 6 |
Provably Efficient CVaR RL in Low-rank MDPs |
提出低秩MDP中的高效CVaR强化学习算法 |
reinforcement learning representation learning |
|
|