Author

William Hoy

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#artificial intelligence Preprint Oct 2026

Asynchronous Is Nearly Free for Evolution Strategies on Long-Horizon Agentic Tasks

LLM-based long-horizon agentic post-training is often bottlenecked by rollout generation: trajectories span many interaction turns, completion times vary substantially, and synchronous update barriers leave faster workers waiting for stragglers. Asynchronous reinforcement learning which has been adopted in LLM post-tra...

William Hoy, Jing-Xuan Fan, Nurcin Celik et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Continuous Context Management

Results demonstrate that CCM is a viable inference paradigm for agents operating with substantially reduced retained context and that its performance can be improved through reinforcement learning with privileged full-history distillation.

William Hoy, Jing-Xuan Fan, Nurcin Celik et al. · 0 citations