{"adoption": {"forks": 820, "observed_at": "2026-08-28T04:07:19.145352+00:00", "stars": 2774}, "canonical_url": "https://ross.abutalabs.com/products/multiagent-particle-envs", "card": {"archived": true, "artifact_type": "library", "description": "Code for a multi-agent particle environment used in the paper \"Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments\"", "domain": ["reinforcement-learning", "machine-learning", "simulation"], "enriched": true, "function": ["simulation", "machine-learning", "reinforcement-learning"], "health_score": 10, "homepage": "https://arxiv.org/pdf/1706.02275.pdf", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "abandoned", "member_repos": ["openai/multiagent-particle-envs"], "name": "openai/multiagent-particle-envs", "platform": ["python", "cross-platform"], "pushed_at": "2024-04-09T01:15:17+00:00", "repo": "openai/multiagent-particle-envs", "stars": 2774, "tags": ["multi-agent", "gym-environments", "particle-environment", "research-code", "archived", "cooperative-competitive", "marl", "research"], "topics": ["paper"], "urls": [], "use_cases": ["train multi-agent reinforcement learning policies", "reproduce the MADDPG paper experiments", "create custom cooperative-competitive multi-agent scenarios", "visually inspect agent behaviors in a particle world", "benchmark multi-agent algorithms on simple environments"], "what_it_is": "A simple multi-agent particle world environment with continuous observations and discrete actions, used in the paper 'Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments'. It provides Gym-like environments with customizable scenarios for multi-agent reinforcement learning research.", "when_to_avoid": ["you need maintained, pip-installable environments with modern Python support (use PettingZoo instead)", "you need photorealistic or complex 3D simulations", "you need production-ready software"], "when_to_choose": ["reproducing the Multi-Agent Actor-Critic paper", "prototyping multi-agent RL algorithms on lightweight environments", "teaching multi-agent reinforcement learning concepts"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/multiagent-particle-envs", "repo": "openai/multiagent-particle-envs", "role": "main", "score": 10}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:19.145352+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T08:16:35.288678+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0557648375b44b69d1f8eb4881a41aa90bd48c70364795d4814d281ec69234f5", "fetched_at": "2026-08-28T04:07:19.145352+00:00", "kind": "readme", "missing": false, "url": "https://github.com/openai/multiagent-particle-envs"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "archived"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3303, "days_push": 877, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 10, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}