{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KK4EDEUZ2DXBOPMBP7JZKOPBN5","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":"a51f4d482ce53eb6a4d3807e466d7f18907ecfb458a72ffe4b5e6d290eca6268","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-22T00:49:47Z","title_canon_sha256":"a4414ad7b08122bc4af31b6eb0ddcac4dcbc5bfaf2e5563210c564898279e039"},"schema_version":"1.0","source":{"id":"1805.08336","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.08336","created_at":"2026-05-18T00:14:53Z"},{"alias_kind":"arxiv_version","alias_value":"1805.08336v2","created_at":"2026-05-18T00:14:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.08336","created_at":"2026-05-18T00:14:53Z"},{"alias_kind":"pith_short_12","alias_value":"KK4EDEUZ2DXB","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KK4EDEUZ2DXBOPMB","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KK4EDEUZ","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:747b87e1c7cf91643cb3e2bf1eb7874d014981809fc0cbae2061e5e07f397601","target":"graph","created_at":"2026-05-18T00:14:53Z","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"},"paper":{"abstract_excerpt":"In this paper, we propose a novel maximum causal Tsallis entropy (MCTE) framework for imitation learning which can efficiently learn a sparse multi-modal policy distribution from demonstrations. We provide the full mathematical analysis of the proposed framework. First, the optimal solution of an MCTE problem is shown to be a sparsemax distribution, whose supporting set can be adjusted. The proposed method has advantages over a softmax distribution in that it can exclude unnecessary actions by assigning zero probability. Second, we prove that an MCTE problem is equivalent to robust Bayes estim","authors_text":"Kyungjae Lee, Songhwai Oh, Sungjoon Choi","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-22T00:49:47Z","title":"Maximum Causal Tsallis Entropy Imitation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.08336","kind":"arxiv","version":2},"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":"sha256:451b2622477a841582da7eb76f2b9b3dc25f832b32e7100cf3279ffbac658d3c","target":"record","created_at":"2026-05-18T00:14:53Z","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":"a51f4d482ce53eb6a4d3807e466d7f18907ecfb458a72ffe4b5e6d290eca6268","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-22T00:49:47Z","title_canon_sha256":"a4414ad7b08122bc4af31b6eb0ddcac4dcbc5bfaf2e5563210c564898279e039"},"schema_version":"1.0","source":{"id":"1805.08336","kind":"arxiv","version":2}},"canonical_sha256":"52b8419299d0ee173d817fd39539e16f4ca5b2f84335ec49d94ca7d1440d9f03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52b8419299d0ee173d817fd39539e16f4ca5b2f84335ec49d94ca7d1440d9f03","first_computed_at":"2026-05-18T00:14:53.159377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:53.159377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DIqMQCu8I/zSn97Mc+R4VCMp4ncESeEQSKcCiO99hDrrvsnmLioT2BNrEoR2LFUdOWEYXiVv/keThZFlw7VMAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:53.160115Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.08336","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:451b2622477a841582da7eb76f2b9b3dc25f832b32e7100cf3279ffbac658d3c","sha256:747b87e1c7cf91643cb3e2bf1eb7874d014981809fc0cbae2061e5e07f397601"],"state_sha256":"71097c38e234bff7810cccf7e3a7b686667b1489c8aff9630891c3a77ac3e15b"}