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AgilePE is presented, a complete system for autonomous UAV pursuit-evasion via self-play reinforcement learning that integrates agile low-level control, competitive policy optimization, and sim-to-real deployment in a unified framework.
Action supervision in vision-language-action (VLA) models is often treated as a downstream objective for learning action prediction. In this paper, we study it instead as a force that shapes inherited multimodal representations. We show that this shaping has a dual effect: it is necessary for forming action-compatible...
Hness VLA is presented, a memory-augmented agentic framework that exposes a frozen VLA as a retryable contact-rich primitive and composes it with a small fixed library of analytic primitives for grounding, staging, transport, navigation, and release.
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