We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...

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Abstract: Improving sampling efficiency and generalization capability is critical for the successful data-driven control of quadrotor unmanned aerial vehicles (UAVs) that are inherently unstable.

We use Jasmine as our testing framework and we're trying to write a robust test suite for our components. If you want to help, here's a starting guide on how to write tests in Jasmine ...

Abstract: Dynamic line rating (DLR) is essential for optimizing the efficiency and reliability of overhead transmission lines (OTLs), as it provides real-time insights into line capacity influenced by ...