ClueFlow: Learning Long-Horizon Search through Attributed Research-State Transitions
Attributes search progress to research-state transitions instead of turn-level signals.
3 items · 2 sources · 3 days
Operational story trace
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A multimodal RL paper on video editing asks when fine-grained credit assignment helps agent training and when it fails to improve task performance.
A run of arXiv papers on how agents learn from their own trajectories. ClueFlow credits search steps by research-state transitions, and a memory-skill paper tackles lifelong learning under a bounded context window.
Arc
Attributes search progress to research-state transitions instead of turn-level signals.
Couples memory with learned skills so decisions fit a bounded context.
Identifies conditions where fine-grained credit assignment fails to improve task performance.
Attributes search progress to research-state transitions instead of turn-level signals.
Couples memory with learned skills so decisions fit a bounded context.
Identifies conditions where fine-grained credit assignment fails to improve task performance.
What to watch — open questions
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