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pro vyhledávání: '"Singh, Nilaksh"'
Deep reinforcement learning (DRL) has shown remarkable success in simulation domains, yet its application in designing robot controllers remains limited, due to its single-task orientation and insufficient adaptability to environmental changes. To ov
Externí odkaz:
http://arxiv.org/abs/2404.18713
Self-Supervised Learning (SSL) has shown great promise in learning representations from unlabeled data. The power of learning representations without the need for human annotations has made SSL a widely used technique in real-world problems. However,
Externí odkaz:
http://arxiv.org/abs/2403.15918