{"adoption": {"forks": 1204, "observed_at": "2026-08-28T04:09:32.550903+00:00", "stars": 5938}, "canonical_url": "https://ross.abutalabs.com/products/deep-reinforcement-learning-algorithms-with-pytorch", "card": {"archived": false, "artifact_type": "learning-resource", "description": "PyTorch implementations of deep reinforcement learning algorithms and environments", "domain": ["reinforcement-learning", "machine-learning", "tutorials"], "enriched": true, "function": ["machine-learning", "reinforcement-learning", "deep-learning"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"], "name": "p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch", "platform": ["python", "cross-platform"], "pushed_at": "2024-07-25T10:14:35+00:00", "repo": "p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch", "stars": 5938, "tags": ["pytorch", "dqn", "ppo", "sac", "td3", "actor-critic", "educational", "reference-implementations"], "topics": [], "urls": [], "use_cases": ["learn how DQN and its variants are implemented in PyTorch", "study reference implementations of PPO and SAC", "compare different deep RL algorithms side by side", "find a starting point for implementing a custom RL agent", "understand hindsight experience replay and hierarchical RL", "teach a reinforcement learning course with working code examples"], "what_it_is": "A collection of PyTorch implementations of deep reinforcement learning algorithms (DQN, PPO, SAC, TD3, DDPG, A3C, HER, hierarchical RL) with accompanying environments. It serves primarily as an educational reference for studying and comparing RL algorithm implementations.", "when_to_avoid": ["you need a production-grade, high-performance RL training framework", "you want the latest algorithms with active development and community support", "you need distributed or large-scale RL training at scale"], "when_to_choose": ["you want readable, well-documented implementations of classic deep RL algorithms", "you are learning reinforcement learning and want code alongside the papers", "you need a reference to check your own RL implementation against"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/deep-reinforcement-learning-algorithms-with-pytorch", "repo": "p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:32.550903+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:50:46.776754+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1374becf23b75e5e63457410446e967f96600cacda4b15c9c3b2ff355c69a5f6", "fetched_at": "2026-08-28T04:09:32.550903+00:00", "kind": "readme", "missing": false, "url": "https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2917, "days_push": 769, "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}}