{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YPSFYXZLSUMOEJ3K4L7GHW3US5","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":"38c4ac93174fdbc7726d66c1b88c3c0c0e3b60db1e25e9203a3340ff61636b2e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T22:37:15Z","title_canon_sha256":"1222edc23e40a7b4119d2ac34be76d5a23233934cd7a1c64b3575d80f3ac7e95"},"schema_version":"1.0","source":{"id":"2303.07507","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.07507","created_at":"2026-07-05T05:51:06Z"},{"alias_kind":"arxiv_version","alias_value":"2303.07507v1","created_at":"2026-07-05T05:51:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.07507","created_at":"2026-07-05T05:51:06Z"},{"alias_kind":"pith_short_12","alias_value":"YPSFYXZLSUMO","created_at":"2026-07-05T05:51:06Z"},{"alias_kind":"pith_short_16","alias_value":"YPSFYXZLSUMOEJ3K","created_at":"2026-07-05T05:51:06Z"},{"alias_kind":"pith_short_8","alias_value":"YPSFYXZL","created_at":"2026-07-05T05:51:06Z"}],"graph_snapshots":[{"event_id":"sha256:e24753100b06031029c2578518f20b8237d5bd216a3e242c3493df7fef1909da","target":"graph","created_at":"2026-07-05T05:51:06Z","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/2303.07507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ability to learn continually is essential in a complex and changing world. In this paper, we characterize the behavior of canonical value-based deep reinforcement learning (RL) approaches under varying degrees of non-stationarity. In particular, we demonstrate that deep RL agents lose their ability to learn good policies when they cycle through a sequence of Atari 2600 games. This phenomenon is alluded to in prior work under various guises -- e.g., loss of plasticity, implicit under-parameterization, primacy bias, and capacity loss. We investigate this phenomenon closely at scale and analy","authors_text":"Adam White, Joseph Modayil, Marlos C. Machado, Rosie Zhao, Zaheer Abbas","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T22:37:15Z","title":"Loss of Plasticity in Continual Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.07507","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":"sha256:32429edc2b64fd524de8640b6c0e798e2e14ed09c473e3d6f3abcaa3eda74ee9","target":"record","created_at":"2026-07-05T05:51:06Z","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":"38c4ac93174fdbc7726d66c1b88c3c0c0e3b60db1e25e9203a3340ff61636b2e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T22:37:15Z","title_canon_sha256":"1222edc23e40a7b4119d2ac34be76d5a23233934cd7a1c64b3575d80f3ac7e95"},"schema_version":"1.0","source":{"id":"2303.07507","kind":"arxiv","version":1}},"canonical_sha256":"c3e45c5f2b9518e2276ae2fe63db7497708be14d80e952dfe51bacfee3de596f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3e45c5f2b9518e2276ae2fe63db7497708be14d80e952dfe51bacfee3de596f","first_computed_at":"2026-07-05T05:51:06.818881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:06.818881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P9c4XUaGpaR2gurAKsyUFRU7mR7hDpTBHn9vmKkaG1mVFDK/gGMqvNATZkrDLpPoQPVefP8wU9feJpqMjS0aBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:06.819402Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.07507","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32429edc2b64fd524de8640b6c0e798e2e14ed09c473e3d6f3abcaa3eda74ee9","sha256:e24753100b06031029c2578518f20b8237d5bd216a3e242c3493df7fef1909da"],"state_sha256":"dae2127323610c959aeabd4644ea6e74e9eb054ef68f118d70265f8798527879"}