{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:SUUSZE4MMTL6PBCPQPS7EE6BDN","short_pith_number":"pith:SUUSZE4M","schema_version":"1.0","canonical_sha256":"95292c938c64d7e7844f83e5f213c11b4d3d0d2a7e4bbaf4248686b5c430e3d7","source":{"kind":"arxiv","id":"2110.12778","version":3},"attestation_state":"computed","paper":{"title":"A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Aggelos Pikrakis, Petros Giannakopoulos, Yannis Cotronis","submitted_at":"2021-10-25T10:18:34Z","abstract_excerpt":"In this work we apply deep reinforcement learning to the problems of navigating a three-dimensional environment and inferring the locations of human speaker audio sources within, in the case where the only available information is the raw sound from the environment, as a simulated human listener placed in the environment would hear it. For this purpose we create two virtual environments using the Unity game engine, one presenting an audio-based navigation problem and one presenting an audio source localization problem. We also create an autonomous agent based on PPO online reinforcement learni"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2110.12778","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-10-25T10:18:34Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"572a7a3805f7c8d6658b955e506697c88a241dafaa91eb89659366b47cb245ad","abstract_canon_sha256":"3bfda49927fd42993ccab91d95c9ecb8c954bab2a1ecee875fce966d522f3653"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:35:33.665008Z","signature_b64":"gSIXunlAo5CWSFRqEYAHpch0MObVEYi6BO0MG4xMSvJCmqg8hyIMWxMBBboxgOPIQyuSsx1rPTa3LtBc7aqFAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95292c938c64d7e7844f83e5f213c11b4d3d0d2a7e4bbaf4248686b5c430e3d7","last_reissued_at":"2026-07-05T03:35:33.664514Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:35:33.664514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Aggelos Pikrakis, Petros Giannakopoulos, Yannis Cotronis","submitted_at":"2021-10-25T10:18:34Z","abstract_excerpt":"In this work we apply deep reinforcement learning to the problems of navigating a three-dimensional environment and inferring the locations of human speaker audio sources within, in the case where the only available information is the raw sound from the environment, as a simulated human listener placed in the environment would hear it. For this purpose we create two virtual environments using the Unity game engine, one presenting an audio-based navigation problem and one presenting an audio source localization problem. We also create an autonomous agent based on PPO online reinforcement learni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.12778","kind":"arxiv","version":3},"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/2110.12778/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2110.12778","created_at":"2026-07-05T03:35:33.664575+00:00"},{"alias_kind":"arxiv_version","alias_value":"2110.12778v3","created_at":"2026-07-05T03:35:33.664575+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.12778","created_at":"2026-07-05T03:35:33.664575+00:00"},{"alias_kind":"pith_short_12","alias_value":"SUUSZE4MMTL6","created_at":"2026-07-05T03:35:33.664575+00:00"},{"alias_kind":"pith_short_16","alias_value":"SUUSZE4MMTL6PBCP","created_at":"2026-07-05T03:35:33.664575+00:00"},{"alias_kind":"pith_short_8","alias_value":"SUUSZE4M","created_at":"2026-07-05T03:35:33.664575+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN","json":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN.json","graph_json":"https://pith.science/api/pith-number/SUUSZE4MMTL6PBCPQPS7EE6BDN/graph.json","events_json":"https://pith.science/api/pith-number/SUUSZE4MMTL6PBCPQPS7EE6BDN/events.json","paper":"https://pith.science/paper/SUUSZE4M"},"agent_actions":{"view_html":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN","download_json":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN.json","view_paper":"https://pith.science/paper/SUUSZE4M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2110.12778&json=true","fetch_graph":"https://pith.science/api/pith-number/SUUSZE4MMTL6PBCPQPS7EE6BDN/graph.json","fetch_events":"https://pith.science/api/pith-number/SUUSZE4MMTL6PBCPQPS7EE6BDN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN/action/storage_attestation","attest_author":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN/action/author_attestation","sign_citation":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN/action/citation_signature","submit_replication":"https://pith.science/pith/SUUSZE4MMTL6PBCPQPS7EE6BDN/action/replication_record"}},"created_at":"2026-07-05T03:35:33.664575+00:00","updated_at":"2026-07-05T03:35:33.664575+00:00"}