rl-infrastructure

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MHGanainy / gsj-harness-rollout-server

Rollout server for RL over a temporally-scoped corpus: (case, timestep, prompt) → a pinned agent in a sandbox truncated at that timestep → one validated, training-ready trajectory.

reinforcement-learning sandboxing training-data rollouts llm-agents rl-infrastructure trajectory-collection

Updated Sep 12, 2026
Python

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