Developing autonomous LLM agents capable of making a series of intelligent decisioiins to solve complex, real-world tasks is a fast-evolving frontier. Merely relying on human demonstration for ...
Abstract: In continuous casting and rolling (CCR) systems, precise billet cutting is critical for ensuring product dimensional accuracy and minimizing material waste. However, conventional rule-based ...
The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...
Abstract: Intelligent transportation networks are increasingly integrating autonomous aerial vehicles (AAVs) to enable services essential for modernizing industries like transportation, logistics, and ...
RLzoo is a collection of the most practical reinforcement learning algorithms, frameworks and applications. It is implemented with Tensorflow 2.0 and API of neural network layers in TensorLayer2.0+, ...
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