{"adoption": {"forks": 249, "observed_at": "2026-08-28T04:04:43.759983+00:00", "stars": 1437}, "canonical_url": "https://ross.abutalabs.com/products/softlearning", "card": {"archived": false, "artifact_type": "library", "description": "Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.", "domain": ["reinforcement-learning", "machine-learning", "robotics", "deep-learning"], "enriched": true, "function": ["reinforcement-learning", "machine-learning", "deep-learning", "cli"], "health_score": 20, "homepage": "https://sites.google.com/view/sac-and-applications", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "maintenance", "member_repos": ["rail-berkeley/softlearning"], "name": "rail-berkeley/softlearning", "platform": ["python"], "pushed_at": "2023-11-29T14:16:25+00:00", "repo": "rail-berkeley/softlearning", "stars": 1437, "tags": ["soft-actor-critic", "maximum-entropy-rl", "tensorflow", "ray-tune", "mujoco", "continuous-control", "off-policy", "linux", "docker", "gpu"], "topics": ["reinforcement-learning", "soft-actor-critic", "deep-learning", "deep-reinforcement-learning", "deep-neural-networks", "machine-learning"], "urls": [], "use_cases": ["train soft actor-critic agents on continuous control tasks", "run maximum entropy reinforcement learning experiments", "reproduce official SAC research results", "launch distributed RL training on cloud services with Ray", "train RL policies for robotic locomotion and manipulation", "benchmark off-policy deep RL algorithms on MuJoCo environments"], "what_it_is": "Softlearning is a deep reinforcement learning toolbox for training maximum entropy policies in continuous domains, and the official implementation of the Soft Actor-Critic (SAC) algorithm. It is built on TensorFlow/Keras with Ray Tune for experiment orchestration and distributed cloud training.", "when_to_avoid": ["you want a PyTorch implementation - use rlkit or other SAC ports instead", "you need actively maintained software with recent updates", "you want RL for discrete action spaces", "you cannot obtain a MuJoCo license or prefer license-free simulators"], "when_to_choose": ["you need the canonical, research-grade SAC implementation", "you work with continuous-domain control and MuJoCo environments", "you want Ray-based scaling of RL experiments to cloud infrastructure", "you prefer TensorFlow/Keras for RL model definitions"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/softlearning", "repo": "rail-berkeley/softlearning", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:43.759983+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:36:45.139921+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "18087d476c2797c2124a33c6cb29520f136b5c4901117996598720294cea4959", "fetched_at": "2026-08-28T04:04:43.759983+00:00", "kind": "readme", "missing": false, "url": "https://github.com/rail-berkeley/softlearning"}, {"content_hash": "ce199e9abf64de7259487dfd729251a2e48de3b6bba3dc52e89e4eb1af2ddf44", "fetched_at": "2026-08-29T11:47:36.021166+00:00", "kind": "homepage", "missing": false, "url": "https://sites.google.com/view/sac-and-applications"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+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": 2830, "days_push": 1008, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}