Trajectory Processor
A core component of the QwenGyre framework that organizes branching behavioral trajectories produced during agent execution into a prefix-sharing trajectory tree. It enables sample deduplication and bounding, and supports scoring partially completed tasks after timeouts. By sharing common prefixes, the processor reduces redundant storage and computation while still producing usable training signals from incomplete or interrupted agent episodes.
Timeline (last 90 days)
The core design of QwenGyre includes two parts: the Elastic Scheduler and the Trajectory Processor.
QwenGyre's Trajectory Processor organizes Agent forked execution trajectories into a prefix-shared trajectory tree to reduce sample redundancy and obtain a bounded, deduplicated set of training samples.
All Facts (2)
The core design of QwenGyre includes two parts: the Elastic Scheduler and the Trajectory Processor.
50%UnverifiedQwenGyre's Trajectory Processor organizes Agent forked execution trajectories into a prefix-shared trajectory tree to reduce sample redundancy and obtain a bounded, deduplicated set of training samples.
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