{"adoption": {"forks": 212, "observed_at": "2026-08-28T04:03:24.450372+00:00", "stars": 1056}, "canonical_url": "https://ross.abutalabs.com/products/dreamerv2", "card": {"archived": false, "artifact_type": "library", "description": "Mastering Atari with Discrete World Models", "domain": ["reinforcement-learning", "artificial-intelligence", "deep-learning", "robotics"], "enriched": true, "function": ["reinforcement-learning", "machine-learning", "simulation"], "health_score": 20, "homepage": "https://danijar.com/dreamerv2", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "stable", "member_repos": ["danijar/dreamerv2"], "name": "danijar/dreamerv2", "platform": ["python"], "pushed_at": "2023-01-21T07:43:42+00:00", "repo": "danijar/dreamerv2", "stars": 1056, "tags": ["world-models", "atari", "model-based-rl", "tensorflow", "research-code", "video-prediction", "gpu", "linux"], "topics": ["reinforcement-learning", "world-models", "artificial-intelligence", "robotics", "deep-learning", "video-prediction", "atari", "research", "machine-learning"], "urls": [], "use_cases": ["train a reinforcement learning agent on Atari games", "learn a world model from image observations", "run model-based RL on Gym environments like MiniGrid", "reproduce DreamerV2 research results", "compare model-based agents against Rainbow and IQN", "train RL agents with continuous action spaces"], "what_it_is": "A TensorFlow 2 implementation of the DreamerV2 model-based reinforcement learning agent that learns world models from high-dimensional images and achieves human-level Atari performance. It is installable via pip and trains on a single GPU across discrete and continuous action environments.", "when_to_avoid": ["you need a simple model-free baseline like DQN or PPO", "you require PyTorch instead of TensorFlow 2", "you need production RL deployment rather than research experimentation", "you need actively maintained code with recent updates"], "when_to_choose": ["you need a proven model-based RL agent with human-level Atari performance", "you want to train from high-dimensional image inputs on a single GPU", "you need a pip-installable RL library supporting discrete and continuous actions", "you are doing research on world models or video prediction"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/dreamerv2", "repo": "danijar/dreamerv2", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:24.450372+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:58:22.535348+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "94d6c247425132dd25f9d799c3459ef50d3c70dd8e4ed6b01df726a7a3de6ed0", "fetched_at": "2026-08-28T04:03:24.450372+00:00", "kind": "readme", "missing": false, "url": "https://github.com/danijar/dreamerv2"}, {"content_hash": "64ca891d79055ba5db2e375c7b6c6d312a17aa8da77b87a46a4ebfc0f657129f", "fetched_at": "2026-08-29T13:00:10.742044+00:00", "kind": "homepage", "missing": false, "url": "https://danijar.com/dreamerv2"}, {"content_hash": "c2794f5d6f2561abdd7684b3044c2047ac58978f65707e01d54380bb2f52432c", "fetched_at": "2026-08-29T13:00:10.751214+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/dreamerv2/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2098, "days_push": 1320, "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}}