{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HXXOABWOYCPRQURM6SUGQIJUBS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"725723158f3504d8644e2c933cbad76a63159c39dc7b401fdcc421099ba68e80","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-16T16:48:36Z","title_canon_sha256":"e308fc9c924bace9015b71990b7979b1882b500c9ae87588e9a25f8d541d7e16"},"schema_version":"1.0","source":{"id":"2205.07802","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.07802","created_at":"2026-07-05T04:23:32Z"},{"alias_kind":"arxiv_version","alias_value":"2205.07802v1","created_at":"2026-07-05T04:23:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.07802","created_at":"2026-07-05T04:23:32Z"},{"alias_kind":"pith_short_12","alias_value":"HXXOABWOYCPR","created_at":"2026-07-05T04:23:32Z"},{"alias_kind":"pith_short_16","alias_value":"HXXOABWOYCPRQURM","created_at":"2026-07-05T04:23:32Z"},{"alias_kind":"pith_short_8","alias_value":"HXXOABWO","created_at":"2026-07-05T04:23:32Z"}],"graph_snapshots":[{"event_id":"sha256:8992ec49357b1c58fca76bc9fdaab270c17e5c8000a8a74d1d82b2e53d3c9061","target":"graph","created_at":"2026-07-05T04:23:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2205.07802/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work identifies a common flaw of deep reinforcement learning (RL) algorithms: a tendency to rely on early interactions and ignore useful evidence encountered later. Because of training on progressively growing datasets, deep RL agents incur a risk of overfitting to earlier experiences, negatively affecting the rest of the learning process. Inspired by cognitive science, we refer to this effect as the primacy bias. Through a series of experiments, we dissect the algorithmic aspects of deep RL that exacerbate this bias. We then propose a simple yet generally-applicable mechanism that tackle","authors_text":"Aaron Courville, Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-16T16:48:36Z","title":"The Primacy Bias in Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.07802","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8659f2cdc840cd9a45f1f8d43e1b4cebec36c07d1d772bfbf9c00f3ab054f839","target":"record","created_at":"2026-07-05T04:23:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"725723158f3504d8644e2c933cbad76a63159c39dc7b401fdcc421099ba68e80","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-16T16:48:36Z","title_canon_sha256":"e308fc9c924bace9015b71990b7979b1882b500c9ae87588e9a25f8d541d7e16"},"schema_version":"1.0","source":{"id":"2205.07802","kind":"arxiv","version":1}},"canonical_sha256":"3deee006cec09f18522cf4a86821340c984f1d8a155e9e459c8c488a7f87938e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3deee006cec09f18522cf4a86821340c984f1d8a155e9e459c8c488a7f87938e","first_computed_at":"2026-07-05T04:23:32.330961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:23:32.330961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"weq51jNEVzJEAUW/SUFJNJggfoJ4zKDXe/GzWsgX3EnpS10DP6J2Uloy10rK0ZeYSTQga+/QGpg3QFkAHG/hAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:23:32.331343Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.07802","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8659f2cdc840cd9a45f1f8d43e1b4cebec36c07d1d772bfbf9c00f3ab054f839","sha256:8992ec49357b1c58fca76bc9fdaab270c17e5c8000a8a74d1d82b2e53d3c9061"],"state_sha256":"86860d79a840052844435f5d6f82c3e5fa516924ace83e70e00f303dfa45dc35"}