{"adoption": {"forks": 85, "observed_at": "2026-08-28T04:05:47.384389+00:00", "stars": 1874}, "canonical_url": "https://ross.abutalabs.com/products/awesome-agenticllm-rl-papers", "card": {"archived": false, "artifact_type": "learning-resource", "description": null, "domain": ["reinforcement-learning", "large-language-models", "machine-learning", "tutorials", "awesome-lists"], "enriched": true, "function": ["machine-learning", "reinforcement-learning", "llm-training", "agent-framework"], "health_score": 73, "homepage": null, "language": null, "license": null, "license_family": "other", "maturity": "active", "member_repos": ["HHHHHejia/Awesome-AgenticLLM-RL-Papers"], "name": "HHHHHejia/Awesome-AgenticLLM-RL-Papers", "platform": [], "pushed_at": "2026-06-18T07:12:43+00:00", "repo": "HHHHHejia/Awesome-AgenticLLM-RL-Papers", "stars": 1874, "tags": ["survey", "papers", "awesome-list", "agentic-rl", "ppo", "dpo", "research", "ai-agents", "web-server"], "topics": [], "urls": [], "use_cases": ["find papers on reinforcement learning for LLM agents", "survey of agentic RL algorithms like PPO and DPO", "research reading list for LLM RL training", "compare RLHF and preference optimization methods", "locate code implementations of agentic RL algorithms", "background reading for training LLM agents with RL"], "what_it_is": "A curated paper list accompanying the survey 'The Landscape of Agentic Reinforcement Learning for LLMs', cataloguing RL algorithms (PPO, DPO families and beyond) for agentic LLM training. It organizes methods by objective type, mechanisms, and links to papers and code.", "when_to_avoid": ["you need runnable training code rather than a paper index", "you want a tool or library rather than research references"], "when_to_choose": ["you need a curated, survey-backed reading list on agentic RL for LLMs", "you want quick comparisons of RL algorithm variants with paper and code links"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/awesome-agenticllm-rl-papers", "repo": "HHHHHejia/Awesome-AgenticLLM-RL-Papers", "role": "main", "score": 57}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:47.384389+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:14:47.327906+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "774ec0883017e05550bcc6d30b064d5cd8881aaf68e30aa1e472231213a38d80", "fetched_at": "2026-08-28T04:05:47.384389+00:00", "kind": "readme", "missing": false, "url": "https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 88, "longevity": 26, "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": 369, "days_push": 76, "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}}