{"paper":{"title":"An Agency-Transferring Model-Free Policy Enhancement Technique","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.SY","eess.SY","math.OC"],"primary_cat":"cs.LG","authors_text":"Anton Bolychev, Georgiy Malaniya, Pavel Osinenko, Sinan Ibrahim","submitted_at":"2026-06-08T17:59:39Z","abstract_excerpt":"Training reinforcement learning (RL) policies from scratch is\n  costly: it requires careful reward and environment design,\n  extensive tuning, and substantial computation.\n  Yet many control problems already have a functional but\n  suboptimal policy available as a baseline.\n  This paper proposes a method for embedding such a baseline into\n  the RL training process, simultaneously improving training\n  efficiency relative to from-scratch methods and producing a\n  learning policy that outperforms the baseline.\n  At each step, the method arbitrates between the baseline policy\n  and a trainable lea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09825","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.09825/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}