Tag: Control
All the articles with the tag "Control".
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Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC
This paper introduces AEDGPR-MPC, a framework combining Model Predictive Control with Gaussian Process Regression and active exploration to correct vehicle model mismatches, achieving significant reductions in lateral error (up to 52.8% in simulation, 36.7% in RC car tests) and velocity tracking RMSE during extreme cornering drift control.
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CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban Scenarios
本文提出了一种基于协调场的代理系统(CoordField),通过大型语言模型解析自然语言指令并利用动态势场实现异构无人机群在城市环境中的去中心化任务分配,实验验证了其在任务覆盖、响应时间和动态适应性方面的优越性能。
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Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
本文提出了一种缓存高效的后验采样框架,通过元学习优化的缓存机制重用LLM先验,显著降低强化学习中的计算成本(查询减少3.8-4.7倍,延迟降低4.0-12.0倍),同时在文本和连续控制任务中保持96-98%的性能。