{"id":23278604,"url":"https://github.com/nderousseaux/lunarlander-v2-qlearning","last_synced_at":"2026-05-21T05:03:54.595Z","repository":{"id":176742379,"uuid":"655413546","full_name":"nderousseaux/lunarlander-v2-qlearning","owner":"nderousseaux","description":"My implementation of q-learning for lunar-landerv2","archived":false,"fork":false,"pushed_at":"2023-06-27T15:53:12.000Z","size":993,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-12T18:34:13.533Z","etag":null,"topics":["experiment","machine-learning","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","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/nderousseaux.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":"2023-06-18T20:18:53.000Z","updated_at":"2024-11-26T14:56:46.000Z","dependencies_parsed_at":null,"dependency_job_id":"6babb87d-7a08-4b94-b075-b5f678e7ec90","html_url":"https://github.com/nderousseaux/lunarlander-v2-qlearning","commit_stats":null,"previous_names":["nderousseaux/lunarlander-v2-qlearning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nderousseaux%2Flunarlander-v2-qlearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nderousseaux%2Flunarlander-v2-qlearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nderousseaux%2Flunarlander-v2-qlearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nderousseaux%2Flunarlander-v2-qlearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nderousseaux","download_url":"https://codeload.github.com/nderousseaux/lunarlander-v2-qlearning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247485285,"owners_count":20946397,"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":["experiment","machine-learning","tensorflow"],"created_at":"2024-12-19T22:32:32.857Z","updated_at":"2026-05-21T05:03:49.556Z","avatar_url":"https://github.com/nderousseaux.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Lunar Lander Q-Learning attempt\n\nThis is my attempt to solve the Lunar Lander problem using Q-Learning.\n\n## How to use this code\n\nAll the parameters can be indicated on the command line like this:\n \n```bash\npython main.py --hidden_layers=\"[64, 64]\" --learning_rate=0.001 --epoch=1000 --gamma=0.99 --epsilon=1.0 --epsilon_dec=0.999 --epsilon_end=0.01 --mem_size=100000 --batch_size=64 --activation_function=\"relu\" --render_during_training=True --live_plot=True\n```\n\nIf you not indicate any parameter, the default value will be used. All the defaults the parameters is in the top of the main.py file.\n\nIf there is already a model saved, (on the folder `models`), the program will skip the training and will play the game using the model.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnderousseaux%2Flunarlander-v2-qlearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnderousseaux%2Flunarlander-v2-qlearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnderousseaux%2Flunarlander-v2-qlearning/lists"}