{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/corl-research-oriented-deep-offline-1","title":"CORL: Research-oriented Deep Offline Reinforcement Learning Library","arxiv_id":"2210.07105","date":"2022-10-13","proceeding":"NeurIPS 2023 11","authors":["Denis Tarasov","Alexander Nikulin","Dmitry Akimov","Vladislav Kurenkov","Sergey Kolesnikov"],"abstract":"CORL is an open-source library that provides thoroughly benchmarked single-file implementations of both deep offline and offline-to-online reinforcement learning algorithms. It emphasizes a simple developing experience with a straightforward codebase and a modern analysis tracking tool. In CORL, we isolate methods implementation into separate single files, making performance-relevant details easier to recognize. Additionally, an experiment tracking feature is available to help log metrics, hyperparameters, dependencies, and more to the cloud. Finally, we have ensured the reliability of the implementations by benchmarking commonly employed D4RL datasets providing a transparent source of results that can be reused for robust evaluation tools such as performance profiles, probability of improvement, or expected online performance.","url_abs":"https://arxiv.org/abs/2210.07105v4","url_pdf":"https://arxiv.org/pdf/2210.07105v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"corl-research-oriented-deep-offline-1","repo_url":"https://github.com/corl-team/CORL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"jax","reach":null},{"paper_slug":"corl-research-oriented-deep-offline-1","repo_url":"https://github.com/hanjuku-kaso/awesome-offline-rl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"corl-research-oriented-deep-offline-1","repo_url":"https://github.com/tinkoff-ai/CORL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"corl-research-oriented-deep-offline-1","repo_url":"https://github.com/hmomin/CORL-compare","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"jax","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"corl-research-oriented-deep-offline-1","repo_url":"https://github.com/howuhh/sac-n-jax","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"jax","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"d4rl","task_name":"D4RL"},{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"},{"task_slug":"reinforcement-learning-2","task_name":"reinforcement-learning"}],"methods":[{"method_slug":null,"method_name":"Library"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2210.07105","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.07105"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/tinkoff-ai/CORL","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/hmomin/CORL-compare","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/corl-team/CORL","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/hanjuku-kaso/awesome-offline-rl","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/howuhh/sac-n-jax","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran_draft_wrong":1,"ran_honours":1},"by_repo_kind":{"official":{"samples":2,"ran":2,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"4e08ac58e3891cfb","entry":"compute_mean_std","repo":"tinkoff-ai/CORL","repo_kind":"official","path":"algorithms/offline/awac.py","file_url":"https://github.com/tinkoff-ai/CORL/blob/HEAD/algorithms/offline/awac.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":2,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4e08ac58e3891cfb"}},{"code_sha256_prefix":"ba80f9ff81b1de5f","entry":"normalize_states","repo":"tinkoff-ai/CORL","repo_kind":"official","path":"algorithms/offline/awac.py","file_url":"https://github.com/tinkoff-ai/CORL/blob/HEAD/algorithms/offline/awac.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"ba80f9ff81b1de5f"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}