{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:A2NWIYSUZ4OEZL2DQ455RIFJSL","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":"09a16afb0aa3debf8eca56424607c3daccfcea1971749dec7f48b140704dbd3b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-08-27T09:38:56Z","title_canon_sha256":"cb624b82e12b24e4a8f200a2754419596f4860da3b1c44ea3d9d3104c88ee9c3"},"schema_version":"1.0","source":{"id":"2208.14226","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.14226","created_at":"2026-07-05T08:24:52Z"},{"alias_kind":"arxiv_version","alias_value":"2208.14226v3","created_at":"2026-07-05T08:24:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.14226","created_at":"2026-07-05T08:24:52Z"},{"alias_kind":"pith_short_12","alias_value":"A2NWIYSUZ4OE","created_at":"2026-07-05T08:24:52Z"},{"alias_kind":"pith_short_16","alias_value":"A2NWIYSUZ4OEZL2D","created_at":"2026-07-05T08:24:52Z"},{"alias_kind":"pith_short_8","alias_value":"A2NWIYSU","created_at":"2026-07-05T08:24:52Z"}],"graph_snapshots":[{"event_id":"sha256:69c4543ce4cdd2bd34dacc701f6953c119c0ed641cef44c4363b098e6a16d74f","target":"graph","created_at":"2026-07-05T08:24:52Z","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/2208.14226/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This review addresses the problem of learning abstract representations of the measurement data in the context of Deep Reinforcement Learning (DRL). While the data are often ambiguous, high-dimensional, and complex to interpret, many dynamical systems can be effectively described by a low-dimensional set of state variables. Discovering these state variables from the data is a crucial aspect for (i) improving the data efficiency, robustness, and generalization of DRL methods, (ii) tackling the curse of dimensionality, and (iii) bringing interpretability and insights into black-box DRL. This revi","authors_text":"Christoph Brune, Mannes Poel, Nicol\\`o Botteghi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-08-27T09:38:56Z","title":"Unsupervised Representation Learning in Deep Reinforcement Learning: A Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.14226","kind":"arxiv","version":3},"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:a68c35c592af904d14bfeff55c2b59a0fd7a90f141f0e1d53eafcec564d7dbd7","target":"record","created_at":"2026-07-05T08:24:52Z","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":"09a16afb0aa3debf8eca56424607c3daccfcea1971749dec7f48b140704dbd3b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-08-27T09:38:56Z","title_canon_sha256":"cb624b82e12b24e4a8f200a2754419596f4860da3b1c44ea3d9d3104c88ee9c3"},"schema_version":"1.0","source":{"id":"2208.14226","kind":"arxiv","version":3}},"canonical_sha256":"069b646254cf1c4caf43873bd8a0a992c9459b6217673c07f071c6abf7dc9946","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"069b646254cf1c4caf43873bd8a0a992c9459b6217673c07f071c6abf7dc9946","first_computed_at":"2026-07-05T08:24:52.876820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:52.876820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dRCT4gw2w9dZwwcpECpgK5EXQlb3cSGghCS+kDpv2YIT26GlXu6UkdEJ66yJ2ccWkvRgHUI07bbQdZcjB2yuDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:52.877251Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.14226","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a68c35c592af904d14bfeff55c2b59a0fd7a90f141f0e1d53eafcec564d7dbd7","sha256:69c4543ce4cdd2bd34dacc701f6953c119c0ed641cef44c4363b098e6a16d74f"],"state_sha256":"42e6d00b8e38eaaa9b877f1c984ac1abbcb9d460df9d6db5352a1c997cb75f23"}