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Learning and Simulation in Generative Structured World Models
The G-SWM not only unifies the key properties of previous models in a principled framework but also achieves two crucial new abilities, multi-modal uncertainty and situated behavior.
Point Cloud Models Improve Visual Robustness in Robotic Learners
In this work, we examine robustness to a suite of these types of visual changes for RGB-D and point cloud based visual control policies.
Structured World Belief for Reinforcement Learning in POMDP
In this paper, we propose Structured World Belief, a model for learning and inference of object-centric belief states.
Improving Generative Imagination in Object-Centric World Models
Third, a few key abilities for more faithful temporal imagination such as multimodal uncertainty and situation-awareness are missing.
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