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Found 4 papers, 1 papers with code
Vision based Virtual Guidance for Navigation
This paper explores the impact of virtual guidance on mid-level representation-based navigation, where an agent performs navigation tasks based solely on visual observations.
Investigation of Factorized Optical Flows as Mid-Level Representations
In this paper, we introduce a new concept of incorporating factorized flow maps as mid-level representations, for bridging the perception and the control modules in modular learning based robotic frameworks.
Toward Synergism in Macro Action Ensembles
Macro actions have been demonstrated to be beneficial for the learning processes of an agent.
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Collecting training data from the physical world is usually time-consuming and even dangerous for fragile robots, and thus, recent advances in robot learning advocate the use of simulators as the training platform.
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