{"id":19736017,"url":"https://github.com/ikostrikov/pytorch-ddpg-naf","last_synced_at":"2025-04-07T10:29:02.431Z","repository":{"id":85543734,"uuid":"80312918","full_name":"ikostrikov/pytorch-ddpg-naf","owner":"ikostrikov","description":"Implementation of algorithms for continuous control (DDPG and NAF).","archived":false,"fork":false,"pushed_at":"2021-02-16T03:42:25.000Z","size":37,"stargazers_count":304,"open_issues_count":7,"forks_count":72,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-05-23T06:50:59.316Z","etag":null,"topics":["ddpg","deep-deterministic-policy-gradient","deep-learning","pytorch","reinforcement-learning"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ikostrikov.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2017-01-28T21:45:50.000Z","updated_at":"2024-04-24T20:11:52.000Z","dependencies_parsed_at":"2023-03-03T14:15:51.007Z","dependency_job_id":null,"html_url":"https://github.com/ikostrikov/pytorch-ddpg-naf","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ikostrikov%2Fpytorch-ddpg-naf","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ikostrikov%2Fpytorch-ddpg-naf/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ikostrikov%2Fpytorch-ddpg-naf/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ikostrikov%2Fpytorch-ddpg-naf/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ikostrikov","download_url":"https://codeload.github.com/ikostrikov/pytorch-ddpg-naf/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247635100,"owners_count":20970669,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ddpg","deep-deterministic-policy-gradient","deep-learning","pytorch","reinforcement-learning"],"created_at":"2024-11-12T01:04:45.951Z","updated_at":"2025-04-07T10:29:02.390Z","avatar_url":"https://github.com/ikostrikov.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"### DEPRECATION\n\nThis repository is deprecated and is no longer maintaned. Please see a more recent implementation of RL for continuous control at [jax-sac](https://github.com/ikostrikov/jax-sac/).\n\n\n### Description\nReimplementation of [Continuous Deep Q-Learning with Model-based Acceleration](https://arxiv.org/pdf/1603.00748v1.pdf) and [Continuous control with deep reinforcement learning](https://arxiv.org/pdf/1509.02971.pdf).\n\nContributions are welcome. If you know how to make it more stable, don't hesitate to send a pull request.\n\n### Run\nUse the default hyperparameters.\n\n#### For NAF:\n\n```\npython main.py --algo NAF --env-name HalfCheetah-v2\n```\n#### For DDPG\n\n```\npython main.py --algo DDPG --env-name HalfCheetah-v2\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fikostrikov%2Fpytorch-ddpg-naf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fikostrikov%2Fpytorch-ddpg-naf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fikostrikov%2Fpytorch-ddpg-naf/lists"}