{"id":28496495,"url":"https://github.com/linesd/pilco-disentangling-uncertainty","last_synced_at":"2025-07-02T20:31:36.657Z","repository":{"id":294941304,"uuid":"188017709","full_name":"linesd/PILCO-disentangling-uncertainty","owner":"linesd","description":"Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)","archived":false,"fork":false,"pushed_at":"2019-12-16T10:42:39.000Z","size":146684,"stargazers_count":8,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-08T12:38:13.467Z","etag":null,"topics":["cart-double-pendulum","cart-pole","control","control-systems","disentangling-sources","dynamical-systems","gaussian-processes","learning-control","machine-learning","monte-carlo-samples","pendulum","pilco","probabilistic-inference","reinforcement-learning","reinforcement-learning-algorithms","uncertainty"],"latest_commit_sha":null,"homepage":"","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/linesd.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"license.txt","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,"zenodo":null}},"created_at":"2019-05-22T10:38:33.000Z","updated_at":"2024-04-12T09:25:06.000Z","dependencies_parsed_at":"2025-05-26T04:45:30.373Z","dependency_job_id":null,"html_url":"https://github.com/linesd/PILCO-disentangling-uncertainty","commit_stats":null,"previous_names":["linesd/pilco-disentangling-uncertainty"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/linesd/PILCO-disentangling-uncertainty","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linesd%2FPILCO-disentangling-uncertainty","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linesd%2FPILCO-disentangling-uncertainty/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linesd%2FPILCO-disentangling-uncertainty/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linesd%2FPILCO-disentangling-uncertainty/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/linesd","download_url":"https://codeload.github.com/linesd/PILCO-disentangling-uncertainty/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/linesd%2FPILCO-disentangling-uncertainty/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263210186,"owners_count":23431073,"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":["cart-double-pendulum","cart-pole","control","control-systems","disentangling-sources","dynamical-systems","gaussian-processes","learning-control","machine-learning","monte-carlo-samples","pendulum","pilco","probabilistic-inference","reinforcement-learning","reinforcement-learning-algorithms","uncertainty"],"created_at":"2025-06-08T12:30:28.943Z","updated_at":"2025-07-02T20:31:36.584Z","avatar_url":"https://github.com/linesd.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PILCO - disentangling sources of uncertainty\n\nThis repository contains the orgininal PILCO MATLAB code (see pilco_readme.txt and license) with added functionality that disentangles the sources of uncertainty in the cost function for a given policy by Monte Carlo sampling.\n\nUncertainty analysis implemented for the following scenarios:\n\n* Pendulum\n* Cart-Pole\n* Pendubot\n* Cart-Double-Pendulum\n\n## Run \n\nScenarios can be run from from the scenarios folder:\n\n* pendulum_learn.m\n* cartPole_learn.m\n* pendubot_learn.m\n* cartDouble_learn.m\n\nSet the number of Monte Carlo samples in the scenario settings files.\n\n## Plot\n\nPlots of the Monte Carlo samples and uncertainty decomposition can be made for each environment from the scripts in the uncertainty_plots folder.\n\n## Output\n\nexample plots for the **pendubot scenario**:\n![](imgs/pen_MC_rollout_Ep_40_Dim_3.png)\n![](imgs/pen_uncertainty.png)\n![](imgs/pen_uncertainty_norm.png)\n\nexample plots for the **cartDoublePendulum scenario**:\n![](imgs/cdp_MC_rollout_Ep_80_Dim_6.png)\n![](imgs/cdp_uncertainty.png)\n![](imgs/cdp_uncertainty_normalised.png)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinesd%2Fpilco-disentangling-uncertainty","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flinesd%2Fpilco-disentangling-uncertainty","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinesd%2Fpilco-disentangling-uncertainty/lists"}