Generalizable active mapping in complex unknown environments remains a critical challenge for mobile robots. Existing methods, constrained by insufficient training data and conservative exploration ...
No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?
Abstract: This paper presents an advanced excavation automation framework that improves trajectory efficiency and improves operational stability in diverse and complex soil conditions. The framework ...
Abstract: This article proposes inverse reinforcement learning (IRL) algorithms for tracking control of linear networked control systems under random state dropouts during wireless transmission. The ...
verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
Getting older often involves a series of challenges, such as cognitive decline, social isolation, and late-life depression. Memory decline, especially decline in episodic memory and working memory, is ...
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