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0.1.1
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0.10.0
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0.11.0.dev0
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0.9.3
com.unity.ml-agents_1.0.0
com.unity.ml-agents_1.0.2
com.unity.ml-agents_1.0.3
com.unity.ml-agents_1.0.4
com.unity.ml-agents_1.0.5
com.unity.ml-agents_1.0.6
com.unity.ml-agents_1.0.7
com.unity.ml-agents_1.0.8
com.unity.ml-agents_1.1.0
com.unity.ml-agents_1.2.0
com.unity.ml-agents_1.3.0
com.unity.ml-agents_1.4.0
com.unity.ml-agents_1.5.0
com.unity.ml-agents_1.6.0
com.unity.ml-agents_1.7.0
com.unity.ml-agents_1.7.2
com.unity.ml-agents_1.8.0
com.unity.ml-agents_1.8.1
com.unity.ml-agents_1.9.0
com.unity.ml-agents_1.9.1
com.unity.ml-agents_2.0.0
com.unity.ml-agents_2.1.0
latest_release
python-packages_0.16.0
python-packages_0.16.1
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python-packages_0.18.0
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v0.1
10 次代码提交 (dc47efbe-2bf0-4cb5-9fdf-f38cd927d18d)
作者 | SHA1 | 备注 | 提交日期 |
---|---|---|---|
GitHub | c17937ef |
Curiosity Driven Exploration & Pyramids Environments (#739)
* Adds implementation of Curiosity-driven Exploration by Self-supervised Prediction (https://arxiv.org/abs/1705.05363) to PPO trainer. * To enable, set use_curiosity flag to true in hyperparameter file. * Includes refactor of unitytrainers model code to accommodate new feature. * Adds new Pyramids environment (w/ documentation). Environment contains sparse reward, and can only be solved using PPO+Curiosity. |
7 年前 |
GitHub | 7eebb5f6 |
Fixes for broken materials (#855)
* Fix materials for wall and checker * Make the ball orange again |
7 年前 |
Arthur Juliani | 7450bd0f | Update sky color for walker, crawler, and pyramids | 7 年前 |
GitHub | 0c417c55 | Release v0.5 (#1202) | 6 年前 |
Vincent(Yuan) Gao | 7ce0b834 |
Add Brains for Pyramids, Reacher, SoccerTwos, Tennis, Bouncer, and CrawlerDynamic (#1313)
* New brains for Pyramid scene * Add reacher brains * New brains for Soccer agents * New Tennis Brains * Set prefabs correctly * New brains for bouncer * New Dynamic Crawler Brains |
6 年前 |
GitHub | e4bf1aea | Updated the model and the scene for Pyramids (#1346) | 6 年前 |
GitHub | bebdb293 |
ML-Agents Branding & Color Updates (#2583)
* new env styles rebased on develop * added new trained models * renamed food collector platforms * reduce training timescale on WallJump from 100 to 10 * uncheck academy control on walljump * new banner image * rename banner file * new example env images * add foodCollector image * change Banana to FoodCollector and update image * change bouncer description to include green cube * update image * update gridworld image * cleanup prefab names and tags * updated soccer env to reference purple agent instead of red * remove unused mats * rename files * remove more unused tags * update image * change platform to agent cube * update text. change platform to agents head * cleanup * cleaned up weird unused meta files * add new wall jump nn files and rename a prefab * walker change stacked states from 5 to 1 walker collects physics observations so stacked states are not need... |
5 年前 |
GitHub | 24ba9d58 |
Develop deprecate broadcasting (#2669)
* Feature Deprecation : Online Behavioral Cloning In this PR : - Delete the online_bc_trainer - Delete the tests for online bc - delete the configuration file for online bc training * Deleting the BCTeacherHelper.cs Script TODO : - Remove usages in the scene - Documentation Edits *DO NOT MERGE* * IMPORTANT : REMOVED ALL IL SCENES - Removed all the IL scenes from the Examples folder * Removed all mentions of online BC training in the Documentation * Made a note in the Migrating.md doc about the removal of the Online BC feature. * Modified the Academy UI to remove the control checkbox and replaced it with a train in the editor checkbox * Removed the Broadcast functionality from the non-Learning brains * Bug fix * Note that the scenes are broken since the BroadcastHub has changed * Modified the LL-API for Python to remove the broadcasting functiuonality. * All unit tests are running * Modifie... |
5 年前 |
GitHub | 39f1f310 | Don't inherit from Academy, remove virtual methods (#3184) | 5 年前 |
GitHub | 4269447e | Convert Academy to a singleton (#3210) | 5 年前 |