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Found 4 papers, 1 papers with code
Domain-Adversarial and Conditional State Space Model for Imitation Learning
We experimentally evaluated the model predictive control performance via imitation learning for continuous control of sparse reward tasks in simulators and compared it with the performance of the existing SRL method.
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion
An industrial connector insertion task requires submillimeter positioning and grasp pose compensation for a plug.
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
In this paper, we propose Multi-View Dreaming, a novel reinforcement learning agent for integrated recognition and control from multi-view observations by extending Dreaming.
Patch-based Object-centric Transformers for Efficient Video Generation
In this work, we present Patch-based Object-centric Video Transformer (POVT), a novel region-based video generation architecture that leverages object-centric information to efficiently model temporal dynamics in videos.
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