{"id":15700317,"url":"https://github.com/soumik12345/twin-delayed-ddpg","last_synced_at":"2025-05-12T13:12:55.924Z","repository":{"id":106257266,"uuid":"247972370","full_name":"soumik12345/Twin-Delayed-DDPG","owner":"soumik12345","description":"Pytorch Implementation of Twin Delayed Deep Deterministic Policy Gradients for Continuous Control","archived":false,"fork":false,"pushed_at":"2020-08-16T16:01:26.000Z","size":8953,"stargazers_count":12,"open_issues_count":0,"forks_count":5,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-05-12T13:12:36.672Z","etag":null,"topics":["box2d","deeplearning","openai-gym","pytorch","reinforcement-learning"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/1802.09477","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/soumik12345.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-03-17T13:09:32.000Z","updated_at":"2023-06-16T17:33:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"fde5c453-e757-4656-a62f-46f328f5fd8c","html_url":"https://github.com/soumik12345/Twin-Delayed-DDPG","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/soumik12345%2FTwin-Delayed-DDPG","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soumik12345%2FTwin-Delayed-DDPG/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soumik12345%2FTwin-Delayed-DDPG/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soumik12345%2FTwin-Delayed-DDPG/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/soumik12345","download_url":"https://codeload.github.com/soumik12345/Twin-Delayed-DDPG/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253745195,"owners_count":21957319,"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":["box2d","deeplearning","openai-gym","pytorch","reinforcement-learning"],"created_at":"2024-10-03T19:47:45.167Z","updated_at":"2025-05-12T13:12:55.882Z","avatar_url":"https://github.com/soumik12345.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Twin Delayed DDGP\n\nPytorch Implementation of Twin Delayed Deep Deterministic Policy Gradients Algorithm for Continuous Control as described by the paper [Addressing Function Approximation Error in Actor-Critic Methods](https://arxiv.org/abs/1802.09477) by Scott Fujimoto, Herke van Hoof, David Meger.\n\n## Results\n\n### BipedalWalker-V3\n\n**Environment Link:** [https://gym.openai.com/envs/BipedalWalker-v2/](https://gym.openai.com/envs/BipedalWalker-v2/)\n\n**Mean Reward:** `295.263390447903` sampled over `20` evaluation episodes.\n\nExperiment Conducted on **Free-P5000** instance provided by [Paperspace Gradient](gradient.paperspace.com).\n\n![](./Results/BipedalWalker-v3.gif)\n\n### LunarLanderContinuous-V2\n\n**Environment Link:** [https://gym.openai.com/envs/LunarLanderContinuous-v2/](https://gym.openai.com/envs/LunarLanderContinuous-v2/)\n\n**Mean Reward:** `272.55341062406666` sampled over `20` evaluation episodes.\n\nExperiment Conducted on **Free-P5000** instance provided by [Paperspace Gradient](gradient.paperspace.com).\n\n![](./Results/LunarLander-v2.gif)\n\n## Reference\n\n```\n@misc{1802.09477,\n    Author = {Scott Fujimoto and Herke van Hoof and David Meger},\n    Title = {Addressing Function Approximation Error in Actor-Critic Methods},\n    Year = {2018},\n    Eprint = {arXiv:1802.09477},\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumik12345%2Ftwin-delayed-ddpg","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoumik12345%2Ftwin-delayed-ddpg","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumik12345%2Ftwin-delayed-ddpg/lists"}