SKILL0EMNLP 2026

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In-context agentic reinforcement learning for skill internalization: agents discover, store, and reuse skills as in-context experience, then internalize them into the policy. Substantial gains over standard RL on ALFWorld and Search-QA.

Agentic AIReinforcement Learning

Self-Distilled Agentic Reinforcement Learning with a gating mechanism. The first open-source codebase to unify agentic RL with on-policy self-distillation, and the base for a growing family of follow-up methods.

FrameworkAgentic AIReinforcement Learning

GUI-G²AAAI 2026

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Gaussian reward modeling for GUI grounding: dense, location-aware rewards replace sparse hit/miss signals and guide policies toward precise, robust grounding.

GUI AgentsReinforcement Learning

UI-S1ACL 2026

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Semi-online RL simulates online training from offline trajectories, giving MLLM-based GUI agents stronger multi-turn interaction. UI-S1-7B is state of the art among open 7B models on both semi-online and online metrics.

GUI AgentsReinforcement Learning

A continuously updated reading list and resource hub for GUI agent research, covering training, grounding, datasets, and benchmarks, with weekly round-ups of newly accepted papers from AAAI, ICLR, NeurIPS, and more.

ResourceGUI Agents