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Found 4 papers, 1 papers with code
INSIGHT: End-to-End Neuro-Symbolic Visual Reinforcement Learning with Language Explanations
In this paper, we present a framework that is capable of learning structured states and symbolic policies simultaneously, whose key idea is to overcome the efficiency bottleneck by distilling vision foundation models into a scalable perception module.
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
The evolution of EMS from HEVs to connected hybrid electric vehicles (CHEVs) represent a pivotal shift.
Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management requires multiple-input and multipleoutput (MIMO) control.
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks
This paper summarizes our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation
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