https://openreview.net/forum?id=zY37C8d6bS&referrer=%5Bthe%20profile%20of%20Ruifeng%20Chen%5D(%2Fprofile%3Fid%3D~Ruifeng_Chen1)
Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement...
Extracting temporally extended skills can significantly improve the efficiency of reinforcement learning (RL) by breaking down complex decision-making problems...
vision language modeltemporal abstractionsemanticvia
https://openreview.net/forum?id=xBSrK_25Ld&referrer=%5Bthe%20profile%20of%20Carl%20Qi%5D(%2Fprofile%3Fid%3D~Carl_Qi1)
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation |...
Effective planning of long-horizon deformable object manipulation requires suitable abstractions at both the spatial and temporal levels. Previous methods...
temporal abstraction
https://openreview.net/forum?id=tyxyBj2w4vw
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation |...
Effective planning of long-horizon deformable object manipulation requires suitable abstractions at both the spatial and temporal levels. Previous methods...
temporal abstraction
https://openreview.net/forum?id=pQsllTesiE
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction |...
Sequential decision-making in high-dimensional continuous action spaces, particularly in stochastic environments, faces significant computational challenges....
decision makingscalablestochasticenvironmentslearned