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Research2026-05-11 · source-backed
This paper tackles the core problem of training command-line agents: long horizons with sparse, delayed rewards when the agent can only partially observe filesystem state. Directly applicable to building autonomous coding assistants and DevOps agents.
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Shared entity: Directly / Same source domain / Shared topic / Earlier coverage / Tension
Both cover Directly; reported by the same outlet (arxiv.org); overlapping topics (agent, applicable, directly).
Shared entity: Directly / Same source domain / Shared topic / Earlier coverage
Both cover Directly; reported by the same outlet (arxiv.org); overlapping topics (agent, applicable, directly, only).
Shared entity: Directly / Same source domain / Shared topic / Earlier coverage / Tension
Both cover Directly; reported by the same outlet (arxiv.org); overlapping topics (agent, directly).
Shared entity: Directly / Same source domain / Shared topic / Earlier coverage
Both cover Directly; reported by the same outlet (arxiv.org); overlapping topics (agent, coding, directly).
Both cover Directly; reported by the same outlet (arxiv.org); overlapping topics (agent, applicable, directly).
Both cover Directly; reported by the same outlet (arxiv.org); overlapping topics (agent, coding, directly).
Both cover Directly; reported by the same outlet (arxiv.org); overlapping topics (agent, directly, framework).
Both cover Directly; reported by the same outlet (arxiv.org); overlapping topics (agent, directly, framework).