Reach or solve? Attributing agentic RL gains with checkpoint handoffs
Read the original at arxiv.org→arXiv:2609.19636v1 Announce Type: new Abstract: Reinforcement learning now trains language-model agents that act over dozens of steps in live environments. The gains are large, and they are read as better...
Original headline: "Reach or Solve? Attributing Agentic RL Gains with Checkpoint Handoffs"
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- Sep 18, 04:00 UTC arXiv cs.AI lead source Reach or Solve? Attributing Agentic RL Gains with Checkpoint Handoffs