mini-AlphaStar:这是DeepMind原始AlphaStar程序的迷你源代码版本-源码

上传者: 42118056 | 上传时间: 2021-08-17 10:48:44 | 文件大小: 158KB | 文件类型: ZIP
迷你AlphaStar 更新 这是“ v_0.8”版本,更新如下: 添加Levenshtein和汉明距离的代码; 增加了对抗内置AI计算机的功能; 解决了某些单位的SL训练损失问题; 介绍 我们发布了mini-AlphaStar项目,它是DeepMind原始AlphaStar程序的微型源版本。 “ v_0.X”表示我们认为我们已经在X * 10%以上的代码上实现了。 “ mini”意味着我们使原始的AlphaStar超参数可调,以便可以小规模运行。 中文版的自述文件在。 内容 下表显示了项目中的相应软件包。 配套 内容 alphastarmini.core.arch alphaStar体系结构 alphastarmini.core.sl 监督学习 alphastarmini.core.rl 强化学习 alphastarmini.core.ma 多代理联赛转换 alph

文件下载

资源详情

[{"title":"( 84 个子文件 158KB ) mini-AlphaStar:这是DeepMind原始AlphaStar程序的迷你源代码版本-源码","children":[{"title":"mini-AlphaStar-main","children":[{"title":"model","children":[{"title":"readme.md <span style='color:#111;'> 43B </span>","children":null,"spread":false}],"spread":true},{"title":"run.py <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 151B </span>","children":null,"spread":false},{"title":"README.MD <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"res","children":[{"title":"sc2_typeenums.h <span style='color:#111;'> 53.01KB </span>","children":null,"spread":false},{"title":"pseudcode","children":[{"title":"pseudocode","children":[{"title":"supervised.py <span style='color:#111;'> 3.19KB </span>","children":null,"spread":false},{"title":"rl.py <span style='color:#111;'> 21.26KB </span>","children":null,"spread":false},{"title":"alphastar.py <span style='color:#111;'> 4.04KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 222B </span>","children":null,"spread":false},{"title":"multiagent.py <span style='color:#111;'> 10.49KB </span>","children":null,"spread":false}],"spread":true},{"title":"detailed-architecture.txt <span style='color:#111;'> 26.15KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 11.09KB </span>","children":null,"spread":false},{"title":"README_ENG.MD <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"setup_cmd.txt <span style='color:#111;'> 309B </span>","children":null,"spread":false},{"title":"data","children":[{"title":"readme.md <span style='color:#111;'> 40B </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 407B </span>","children":null,"spread":false},{"title":"README_CHS.MD <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"alphastarmini","children":[{"title":"lib","children":[{"title":"config.py <span style='color:#111;'> 433B </span>","children":null,"spread":false},{"title":"hyper_parameters.py <span style='color:#111;'> 21.33KB </span>","children":null,"spread":false},{"title":"multinomial.py <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false},{"title":"edit_distance.py <span style='color:#111;'> 2.88KB </span>","children":null,"spread":false},{"title":"alphastar_transformer.py <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 9.30KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 19B </span>","children":null,"spread":false},{"title":"glu.py <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false}],"spread":true},{"title":"core","children":[{"title":"ma","children":[{"title":"player.py <span style='color:#111;'> 8.62KB </span>","children":null,"spread":false},{"title":"pfsp.py <span style='color:#111;'> 647B </span>","children":null,"spread":false},{"title":"coordinator.py <span style='color:#111;'> 705B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 17B </span>","children":null,"spread":false},{"title":"ma_train.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"league.py <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":"payoff.py <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 144B </span>","children":null,"spread":false},{"title":"sl","children":[{"title":"multi_node_training.py <span style='color:#111;'> 1000B </span>","children":null,"spread":false},{"title":"load_pickle.py <span style='color:#111;'> 2.48KB </span>","children":null,"spread":false},{"title":"load_feature_label.py <span style='color:#111;'> 2.70KB </span>","children":null,"spread":false},{"title":"label.py <span style='color:#111;'> 5.50KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 5.70KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 18B </span>","children":null,"spread":false},{"title":"load_replay_info.py <span style='color:#111;'> 6.81KB </span>","children":null,"spread":false},{"title":"transform_replay_data.py <span style='color:#111;'> 14.39KB </span>","children":null,"spread":false},{"title":"sl_train_by_tensor.py <span style='color:#111;'> 5.19KB </span>","children":null,"spread":false},{"title":"feature.py <span style='color:#111;'> 4.64KB </span>","children":null,"spread":false},{"title":"sl_train_by_pickle.py <span style='color:#111;'> 5.22KB </span>","children":null,"spread":false},{"title":"dataset_pickle.py <span style='color:#111;'> 6.11KB </span>","children":null,"spread":false},{"title":"balanced_data_parallel.py <span style='color:#111;'> 4.34KB </span>","children":null,"spread":false}],"spread":false},{"title":"arch","children":[{"title":"scalar_encoder.py <span style='color:#111;'> 13.68KB </span>","children":null,"spread":false},{"title":"agent.py <span style='color:#111;'> 29.47KB </span>","children":null,"spread":false},{"title":"location_head.py <span style='color:#111;'> 12.84KB </span>","children":null,"spread":false},{"title":"target_unit_head.py <span style='color:#111;'> 9.91KB </span>","children":null,"spread":false},{"title":"action_type_head.py <span style='color:#111;'> 9.39KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 20B </span>","children":null,"spread":false},{"title":"delay_head.py <span style='color:#111;'> 4.81KB </span>","children":null,"spread":false},{"title":"spatial_encoder.py <span style='color:#111;'> 10.88KB </span>","children":null,"spread":false},{"title":"arch_model.py <span style='color:#111;'> 12.99KB </span>","children":null,"spread":false},{"title":"core.py <span style='color:#111;'> 5.48KB </span>","children":null,"spread":false},{"title":"entity_encoder.py <span style='color:#111;'> 37.26KB </span>","children":null,"spread":false},{"title":"queue_head.py <span style='color:#111;'> 5.05KB </span>","children":null,"spread":false},{"title":"selected_units_head.py <span style='color:#111;'> 14.38KB </span>","children":null,"spread":false}],"spread":false},{"title":"readme.txt <span style='color:#111;'> 104B </span>","children":null,"spread":false},{"title":"rl","children":[{"title":"alphastar_agent.py <span style='color:#111;'> 9.39KB </span>","children":null,"spread":false},{"title":"baseline.py <span style='color:#111;'> 10.02KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"state.py <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false},{"title":"against_computer.py <span style='color:#111;'> 10.85KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 18B </span>","children":null,"spread":false},{"title":"env_run_loop.py <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false},{"title":"env_utils.py <span style='color:#111;'> 3.24KB </span>","children":null,"spread":false},{"title":"learner.py <span style='color:#111;'> 4.07KB </span>","children":null,"spread":false},{"title":"action.py <span style='color:#111;'> 8.63KB </span>","children":null,"spread":false},{"title":"rl_train.py <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":"compute_loss.py <span style='color:#111;'> 42.30KB </span>","children":null,"spread":false},{"title":"actor.py <span style='color:#111;'> 11.35KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 112B </span>","children":null,"spread":false},{"title":"third","children":[{"title":"__init__.py <span style='color:#111;'> 63B </span>","children":null,"spread":false},{"title":"transformer","children":[{"title":"Layers.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 27B </span>","children":null,"spread":false},{"title":"Modules.py <span style='color:#111;'> 674B </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"Optim.py <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":"Translator.py <span style='color:#111;'> 4.46KB </span>","children":null,"spread":false},{"title":"Constants.py <span style='color:#111;'> 75B </span>","children":null,"spread":false},{"title":"Models.py <span style='color:#111;'> 6.32KB </span>","children":null,"spread":false},{"title":"SubLayers.py <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明