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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
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com.unity.ml-agents_1.0.8
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com.unity.ml-agents_1.3.0
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com.unity.ml-agents_1.5.0
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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
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v0.1
7 次代码提交 (dc636594-1b6c-483d-94cf-08ef264c43cb)
作者 | SHA1 | 备注 | 提交日期 |
---|---|---|---|
Arthur Juliani | 51f23cd2 |
0.2 Update
* added broadcast to the player and heuristic brain. Allows the python API to record actions taken along with the states and rewards * removed the broadcast checkbox Added a Handshake method for the communicator The academy will try to handshake regardless of the brains present Player and Heuristic brains will send their information through the communicator but will not receive commands * bug fix : The environment only requests actions from external brains when unique * added warning in case no brins are set to external * fix on the instanciation of coreBrains, fix on the conversion of actions to arrays in the BrainInfo received from step * default discrete action is now 0 bug fix for discrete broadcast action (the action size should be one in Agents.cs) modified Tennis so that the default action is no action modified the TemplateDecsion.cs to ensure non null values are sent from Decide() and MakeMemory() * minor fixes * need to convert the s... |
7 年前 |
GitHub | 976c56c5 |
Environment Aesthetic Unification (#459)
* Aesthetic unification * Add new environment images |
7 年前 |
GitHub | c1e930b5 |
Minor Visual Changes for Environments (#470)
* Minor changes to ensure a common visual language. * Agents are blue (or additionally red in competitive scenarios). * Interactable objects are orange. * Goals are green when objects, and checkerboards when places. * Not everything perfectly follows this, but things are mostly consistent now. * Renamed "Banana" folder to "BananaCollectors" * Ensured all brains were set to "Player" * Moved non-shared assets out of the "SharedAssets" folder. |
7 年前 |
GitHub | c9c9e147 |
Revamp Crawler & Walker (#841)
* Revamps agent code for walker and crawler environments to use shared JointDriveController system. * Crawler has been reworked to be very cute. * Crawler & Walker environments have been reworked to be visually consistent. * Added Dynamic Crawler scene. * All scenes re-trained and new models added. * Documentation changes. |
7 年前 |
Arthur Juliani | 7450bd0f | Update sky color for walker, crawler, and pyramids | 7 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 | 9514cbbb |
Update Crawler Ragdoll & Add DirectionIndicator (#4097)
* about to implement orientation cube * oCube spawining works. ready to train * working. about to try com * ready for training * add random rot on episode start * feet now alternate but runs backwards * still running with right leg in front * increased joint strength to 40k * removed texture example * reduced maxAngVel, enabled enhanced determinism, cont spec * rebuilt walker ragdoll to scale 1 * rebuilt ragdoll ready * update walker pair prefab * fixed bp heirarchy * added trained model, renamed scene, usecollisioncallbacks * updated dynamic platforms * added dynamic walker tf file. max speed 5 * DynamicWalker working. has working nn file * collect local rotations * added new dynamic nn file * hip facing reward * Create WalkerDynamic.yaml * fix hip rotation * about to clean up code * added dirIndicator and orentCubeGizmo * clean up * cleanup * up... |
5 年前 |