{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:6GSWKRQ6XNXTRZDRK55WIAJCVD","short_pith_number":"pith:6GSWKRQ6","canonical_record":{"source":{"id":"1804.00361","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-02T00:19:31Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"d7cd01ee45eb2062da3378ee58ee5ee124c5c8d77a05e3bdeda79cb91f1766b9","abstract_canon_sha256":"b1a3811239645b9d7b16da9150f306cd23a6d74043a8d893d8c651cd94f1102a"},"schema_version":"1.0"},"canonical_sha256":"f1a565461ebb6f38e471577b640122a8c35935a7dbb1be74f81c876c09146eb0","source":{"kind":"arxiv","id":"1804.00361","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00361","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00361v1","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00361","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"pith_short_12","alias_value":"6GSWKRQ6XNXT","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6GSWKRQ6XNXTRZDR","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6GSWKRQ6","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:6GSWKRQ6XNXTRZDRK55WIAJCVD","target":"record","payload":{"canonical_record":{"source":{"id":"1804.00361","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-02T00:19:31Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"d7cd01ee45eb2062da3378ee58ee5ee124c5c8d77a05e3bdeda79cb91f1766b9","abstract_canon_sha256":"b1a3811239645b9d7b16da9150f306cd23a6d74043a8d893d8c651cd94f1102a"},"schema_version":"1.0"},"canonical_sha256":"f1a565461ebb6f38e471577b640122a8c35935a7dbb1be74f81c876c09146eb0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:37.504070Z","signature_b64":"15DTOTOYTeb/4aaKw17zoC9X9UjsIv2jvpcPWdv/s4lYC1LYebfg8a3Gvsq98ZuJT3stpqIpTzjE4Wod+U4uCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1a565461ebb6f38e471577b640122a8c35935a7dbb1be74f81c876c09146eb0","last_reissued_at":"2026-05-18T00:19:37.503247Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:37.503247Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.00361","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:19:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5rYV+XqhzNTPqtYTmMEZqe4dzoNixQA8BEwmqbBUyLxosadSmn0cm/FDvZX+LOIYXnnlsWRE6ieHqybODi4CAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:16:01.434729Z"},"content_sha256":"fcaa0a70bf876f913ca2a5e42843c048a8035e72abcdba53e0c736412c0df752","schema_version":"1.0","event_id":"sha256:fcaa0a70bf876f913ca2a5e42843c048a8035e72abcdba53e0c736412c0df752"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:6GSWKRQ6XNXTRZDRK55WIAJCVD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Adam Stelmaszczyk, Andrew Melnik, Anton Pechenko, B{\\l}a\\.zej Osi\\'nski, Carmichael Ong, Chun Yuan, Helge Ritter, Henryk Michalewski, Jennifer Hicks, Jiale Chen, Jun Shi, {\\L}ukasz Kidzi\\'nski, Malte Schilling, Marcel Salath\\'e, Mikhail Pavlov, Piotr Jarosik, Piotr Mi{\\l}o\\'s, Scott Delp, Sean Carroll, Sergey Kolesnikov, Sergey Levine, Sergey Plis, Sharada Prasanna Mohanty, Shuchang Zhou, Zhewei Huang, Zhibo Chen, Zhihui Lin, Zhizheng Zhang, Zhuobin Zheng","submitted_at":"2018-04-02T00:19:31Z","abstract_excerpt":"In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle course. Top participants were invited to describe their algorithms. In this work, we present eight solutions that used deep reinforcement learning approaches, based on algorithms such as Deep Deterministic Policy Gradient, Proximal Policy Optimization, and Trust Region Policy Optimization. Many solutions use similar relaxations and heuristics, such as reward shaping, frame skipping, discretization of the action space,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00361","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:19:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dCcsu4FIwRYn3h/ccQWcebbo20QHWJ6jTNVU8dplFUv6RDb/uGttws5iP3INLjSTzOojRQNjMAdfx/n8szhoAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:16:01.435597Z"},"content_sha256":"4c63209b9741d24be5396e099ea71c602e4ddc123a826282eac245ba749d7c19","schema_version":"1.0","event_id":"sha256:4c63209b9741d24be5396e099ea71c602e4ddc123a826282eac245ba749d7c19"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6GSWKRQ6XNXTRZDRK55WIAJCVD/bundle.json","state_url":"https://pith.science/pith/6GSWKRQ6XNXTRZDRK55WIAJCVD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6GSWKRQ6XNXTRZDRK55WIAJCVD/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-10T02:16:01Z","links":{"resolver":"https://pith.science/pith/6GSWKRQ6XNXTRZDRK55WIAJCVD","bundle":"https://pith.science/pith/6GSWKRQ6XNXTRZDRK55WIAJCVD/bundle.json","state":"https://pith.science/pith/6GSWKRQ6XNXTRZDRK55WIAJCVD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6GSWKRQ6XNXTRZDRK55WIAJCVD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6GSWKRQ6XNXTRZDRK55WIAJCVD","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":"b1a3811239645b9d7b16da9150f306cd23a6d74043a8d893d8c651cd94f1102a","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-02T00:19:31Z","title_canon_sha256":"d7cd01ee45eb2062da3378ee58ee5ee124c5c8d77a05e3bdeda79cb91f1766b9"},"schema_version":"1.0","source":{"id":"1804.00361","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00361","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00361v1","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00361","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"pith_short_12","alias_value":"6GSWKRQ6XNXT","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6GSWKRQ6XNXTRZDR","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6GSWKRQ6","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:4c63209b9741d24be5396e099ea71c602e4ddc123a826282eac245ba749d7c19","target":"graph","created_at":"2026-05-18T00:19:37Z","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 the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle course. Top participants were invited to describe their algorithms. In this work, we present eight solutions that used deep reinforcement learning approaches, based on algorithms such as Deep Deterministic Policy Gradient, Proximal Policy Optimization, and Trust Region Policy Optimization. Many solutions use similar relaxations and heuristics, such as reward shaping, frame skipping, discretization of the action space,","authors_text":"Adam Stelmaszczyk, Andrew Melnik, Anton Pechenko, B{\\l}a\\.zej Osi\\'nski, Carmichael Ong, Chun Yuan, Helge Ritter, Henryk Michalewski, Jennifer Hicks, Jiale Chen, Jun Shi, {\\L}ukasz Kidzi\\'nski, Malte Schilling, Marcel Salath\\'e, Mikhail Pavlov, Piotr Jarosik, Piotr Mi{\\l}o\\'s, Scott Delp, Sean Carroll, Sergey Kolesnikov, Sergey Levine, Sergey Plis, Sharada Prasanna Mohanty, Shuchang Zhou, Zhewei Huang, Zhibo Chen, Zhihui Lin, Zhizheng Zhang, Zhuobin Zheng","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-02T00:19:31Z","title":"Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00361","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:fcaa0a70bf876f913ca2a5e42843c048a8035e72abcdba53e0c736412c0df752","target":"record","created_at":"2026-05-18T00:19:37Z","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":"b1a3811239645b9d7b16da9150f306cd23a6d74043a8d893d8c651cd94f1102a","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-02T00:19:31Z","title_canon_sha256":"d7cd01ee45eb2062da3378ee58ee5ee124c5c8d77a05e3bdeda79cb91f1766b9"},"schema_version":"1.0","source":{"id":"1804.00361","kind":"arxiv","version":1}},"canonical_sha256":"f1a565461ebb6f38e471577b640122a8c35935a7dbb1be74f81c876c09146eb0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1a565461ebb6f38e471577b640122a8c35935a7dbb1be74f81c876c09146eb0","first_computed_at":"2026-05-18T00:19:37.503247Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:37.503247Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"15DTOTOYTeb/4aaKw17zoC9X9UjsIv2jvpcPWdv/s4lYC1LYebfg8a3Gvsq98ZuJT3stpqIpTzjE4Wod+U4uCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:37.504070Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.00361","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fcaa0a70bf876f913ca2a5e42843c048a8035e72abcdba53e0c736412c0df752","sha256:4c63209b9741d24be5396e099ea71c602e4ddc123a826282eac245ba749d7c19"],"state_sha256":"79669a0e9b28503c4b13aa03f5a38f34c20694313d5da7c1e5c4c1c6d3d3715c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gkmP6WB6kXARrLtpTfcPywhLjZLa278fi5W3mLms8tzeJCYXn843DGj4k7ZlpovkPYv8Jh2Fw8lp9A7yYx9yAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T02:16:01.441252Z","bundle_sha256":"6052536db66b9468121a07d7d1c9c48962c9dbf506be9e3e5d2820db17883688"}}