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0 results for “agentic tasks”
Progress-conditioned Group Policy Optimization for Long-Horizon Agentic Tasks
A new reinforcement learning method called ProGPO improves LLM agent training on long-horizon tasks by reweighting credit assignment when all rollouts fail, using state-visit novelty as a proxy for progress.
Jul 28, 2026
Muse Spark 1.1 by Meta AI: Multimodal reasoning model built for agentic tasks - Product Hunt
Meta AI released Muse Spark 1.1, a multimodal reasoning model designed for agentic tasks, as announced on Product Hunt — a platform signaling early user interest but not representing technical validation or deployment evidence.
Jul 11, 2026
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training
Researchers introduced TurnOPD, a turn-aware on-policy distillation method that improves training efficiency and accuracy for long-horizon language agents by reallocating computational budget from low-signal tail turns to deeper decision points.
Jul 9, 2026
Best AI for Agentic Tasks: LLM Leaderboard - Artificial Analysis
An analyst report ranks large language models on 'agentic tasks' using a proprietary benchmark, positioning certain models as leaders in autonomous reasoning and action — but provides no methodology, validation, or independent replication details.
Published Oct 3, 2025 · Analyzed Jul 6, 2026