Abstract: Dual-arm robots can perform bimanual long-horizon (LH) manipulation, surpassing the capabilities of single-arm robots. However, bimanual LH tasks are challenging for robot intelligence due ...
An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...
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 ...
Abstract: Non-linearities and unmodeled dynamics in the control system inevitably degrade the quality and reliability of voltage stabilization performance in DC-DC buck converters. Reinforcement ...
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