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Constrained Visual Representation Learning With Bisimulation Metrics for Safe Reinforcement Learning
Safe reinforcement learning aims to ensure the optimal performance while minimizing potential risks. In real-world applications, especially in scenarios that rely on visual inputs, a key challenge ...
PVA fiber is a synthetic polymer identified by high hydrophilicity, moderate modulus of flexibility, and strong interfacial ...
In this paper, we develop a novel decentralized resource allocation mechanism for vehicle-to-vehicle (V2V) communications based on deep reinforcement learning, which can be applied to both unicast and ...
Developed by materials expert Gilles Koolen, former coordinator of the Alliance’s Scientific Council, and Vanacker, a 3rd ...
1. INTRODUCTION. There has been rapidly growing interest in fiber reinforced polymer composites in their applications both in industry and in fundamental research [].Fiber reinforced composites have ...
Hence, all sources in the Italian press agree that the Croatian’s stocks are on the rise, as the hierarchy is now leaning towards confirming him for next season, especially after missing out on ...
Figure 4 shows the variation of the flexural rupture strength of the neat epoxy as well as the epoxy matrix composites reinforced with up to 30 vol% of continuous and aligned malva fibers. In this ...
The Detroit Lions are adding another veteran to their offensive line room following the retirement of center Frank Ragnow. According to NFL Network's Mike Garafolo, the Lions are signing former ...
Our reinforcement learning framework co-evolves the LLM’s coding and unit-test generation abilities simultaneously, thereby improving its overall coding performance. As shown in the table above, after ...
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