{"adoption": {"forks": 152, "observed_at": "2026-08-28T04:03:38.470367+00:00", "stars": 1116}, "canonical_url": "https://ross.abutalabs.com/products/ase", "card": {"archived": false, "artifact_type": "library", "description": "Adversarial skill embeddings for training reusable controllers for physically simulated characters.", "domain": ["machine-learning", "reinforcement-learning", "simulation", "graphics"], "enriched": true, "function": ["machine-learning", "reinforcement-learning", "simulation", "animation"], "health_score": 54, "homepage": "https://research.nvidia.com/labs/toronto-ai/ASE/", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "abandoned", "member_repos": ["nv-tlabs/ASE"], "name": "nv-tlabs/ASE", "platform": ["python", "windows"], "pushed_at": "2025-12-07T09:02:20+00:00", "repo": "nv-tlabs/ASE", "stars": 1116, "tags": ["physics-based-character-animation", "adversarial-imitation-learning", "isaac-gym", "skill-embeddings", "motion-imitation", "deprecated", "research-code", "gpu", "linux"], "topics": ["animation", "physics-simulation", "reinforcement-learning"], "urls": [], "use_cases": ["train reusable motor skill controllers for physically simulated humanoid characters", "imitate large datasets of unstructured motion clips without task-specific annotation", "train high-level task controllers on top of pre-trained skill embeddings", "simulate life-like character behaviors like running to targets and getting up after falling", "test robustness of learned controllers against perturbations like thrown projectiles"], "what_it_is": "ASE (Adversarial Skill Embeddings) is a research codebase from NVIDIA for training reusable low-level skill controllers for physically simulated characters using reinforcement learning and adversarial imitation on large unstructured motion datasets. It builds on Isaac Gym and supports pre-training skill embeddings plus task-training of high-level controllers on top of them.", "when_to_avoid": ["you want maintained, easy-to-use implementations - the repo is deprecated in favor of MimicKit", "you need production character animation tooling rather than research code", "you cannot obtain Isaac Gym, which is required and no longer actively distributed"], "when_to_choose": ["you need the original reference implementation of the ASE paper for research reproduction", "you work with Isaac Gym and want massively parallel physics-based character skill learning", "you want to study adversarial skill embeddings or hierarchical RL for character animation"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/ase", "repo": "nv-tlabs/ASE", "role": "main", "score": 57}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:38.470367+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:41:59.220939+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "966b57ebe174e52fba6194899a890fb415bf2e1240bf760a355a29036f31c3fb", "fetched_at": "2026-08-28T04:03:38.470367+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/ASE"}, {"content_hash": "19c66b5c21e9a4af035853721859bfab4567eaf5b586fabda9652b17a65521ec", "fetched_at": "2026-08-29T12:46:02.597867+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/ASE/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 56, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1591, "days_push": 269, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 57, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}