{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WPKXXWW5CFIAMFVYWQWYTGIJ3Y","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":"bdac23a67d2b36e826660ff420dc34b8801400ff726239eefa3b029606da1bec","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-22T14:00:29Z","title_canon_sha256":"e148522a2527b52aa1705a0ef218df0a3462f161ebd1e4b2baa5d3cd520c02d2"},"schema_version":"1.0","source":{"id":"1909.10008","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.10008","created_at":"2026-07-05T00:06:16Z"},{"alias_kind":"arxiv_version","alias_value":"1909.10008v1","created_at":"2026-07-05T00:06:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.10008","created_at":"2026-07-05T00:06:16Z"},{"alias_kind":"pith_short_12","alias_value":"WPKXXWW5CFIA","created_at":"2026-07-05T00:06:16Z"},{"alias_kind":"pith_short_16","alias_value":"WPKXXWW5CFIAMFVY","created_at":"2026-07-05T00:06:16Z"},{"alias_kind":"pith_short_8","alias_value":"WPKXXWW5","created_at":"2026-07-05T00:06:16Z"}],"graph_snapshots":[{"event_id":"sha256:bf87d4f6e0d69037830f4a57b49f0fd1ea84e2f62198becbb06f20a77cd886fe","target":"graph","created_at":"2026-07-05T00:06:16Z","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/1909.10008/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we investigate two hypothesis regarding the use of deep reinforcement learning in multiple tasks. The first hypothesis is driven by the question of whether a deep reinforcement learning algorithm, trained on two similar tasks, is able to outperform two single-task, individually trained algorithms, by more efficiently learning a new, similar task, that none of the three algorithms has encountered before. The second hypothesis is driven by the question of whether the same multi-task deep RL algorithm, trained on two similar tasks and augmented with elastic weight consolidation (EWC","authors_text":"Francisco S. Melo, Jo\\~ao Dias, Jo\\~ao Ribeiro","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-22T14:00:29Z","title":"Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.10008","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":"sha256:245f3b0a709ac7654d4fdad485f2c7751e23544fdb38dd59fb9aca7d5546dda8","target":"record","created_at":"2026-07-05T00:06:16Z","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":"bdac23a67d2b36e826660ff420dc34b8801400ff726239eefa3b029606da1bec","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-22T14:00:29Z","title_canon_sha256":"e148522a2527b52aa1705a0ef218df0a3462f161ebd1e4b2baa5d3cd520c02d2"},"schema_version":"1.0","source":{"id":"1909.10008","kind":"arxiv","version":1}},"canonical_sha256":"b3d57bdadd11500616b8b42d899909de052cef46b6ee6810c27a3fdab0925ce7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3d57bdadd11500616b8b42d899909de052cef46b6ee6810c27a3fdab0925ce7","first_computed_at":"2026-07-05T00:06:16.356736Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:06:16.356736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vYVuUimx92CW9uTfDglnGScLcFI+PZJDBVZHRBXBv9MLmS0AleC8wTUxF73I8bGfw707uM85qsm0fLbc4c7TAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:06:16.357210Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.10008","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:245f3b0a709ac7654d4fdad485f2c7751e23544fdb38dd59fb9aca7d5546dda8","sha256:bf87d4f6e0d69037830f4a57b49f0fd1ea84e2f62198becbb06f20a77cd886fe"],"state_sha256":"73d3e5936f9c306b685bd10d9dbc8e5c72dd6bd000dc4a85c556b26e07f5fe8c"}