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0.1.1
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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
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com.unity.ml-agents_1.0.5
com.unity.ml-agents_1.0.6
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com.unity.ml-agents_1.1.0
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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
14 次代码提交 (8da16bdb-d8ee-41eb-a4ca-1aa11442e3f3)
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 |
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 |
Vincent-Pierre BERGES | 4a6ae4e0 |
Barracuda integration into ML-Agents (#1557)
* Switched default Mac GFX API to Metal * Added Barracuda pre-0.1.5 * Added basic integration with Barracuda Inference Engine * Use predefined outputs the same way as for TF engine * Fixed discrete action + LSTM support * Switch Unity Mac Editor to Metal GFX API * Fixed null model handling * All examples converted to support Barracuda * Added model conversion from Tensorflow to Barracuda copied the barracuda.py file to ml-agents/mlagents/trainers copied the tensorflow_to_barracuda.py file to ml-agents/mlagents/trainers modified the tensorflow_to_barracuda.py file so it could be called from mlagents modified ml-agents/mlagents/trainers/policy.py to convert the tf models to barracuda compatible .bytes file * Added missing iOS BLAS plugin * Added forgotten prefab changes * Removed GLCore GFX backend for Mac, because it doesn't support Compute shaders * Exposed GPU support for LearningBrain inference ... |
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 | 99146e97 |
1 to 1 Brain to Agent (#2729)
* 1 to 1 Brain to Agent This is a work in progess In this PR : - Deleted all Brain Objects - Moved the BrainParameters into the Agent - Gave the Agent a Heuristic method (see Balance Ball for example) - Modified the Communicator and ModelRunner : Put can only take one agent at a time - Made the IBrain Interface with RequestDecision and DecideAction method No changes made to Python [Design Doc](https://docs.google.com/document/d/1hBhBxZ9lepGF4H6fc6Hu6AW7UwOmnyX3trmgI3HpOmo/edit#) * Removing editorconfig * Updating BallanceBall scene * grammar mistake * Clearing the Agents of the Model runner * Added Documentation on IBrain * Modified comments on GiveModel * Introduced a factory * Split Learning Brain in two * Changes to walljump * Fixing the Unit tests * Renaming the Brain to Policy * Heuristic now has priority over training * Edited code comments * Fixing bugs * Develop one to one scene edits... |
5 年前 |
Jonathan Harper | c561dfbf |
Update NN models for all example scenes (v0.11.0)
This change updates all of the .nn models, and uses the new output filenames (e.g. 3DBallLearning.nn becomes 3dBall.nn). |
5 年前 |
GitHub | 03664e75 |
Make On Demand Decision the default (#3243)
* Added a simple Decision Requester * Modified the prefabs * Fixing the tests and removing fields from Agent parameters * Migrating.md * addressing comments * addressing comments |
5 年前 |
GitHub | a1a1126d |
Trim some public fields on the Agent (#3269)
* Triming some of the methods of the agent but left SetReward * Fixing bugs * modifying the environments * Reintroducing IsDone and IsMaxStepReached * Updating the Migrating doc * more details on the Migration |
5 年前 |
GitHub | ceebacd6 | Convert pyramids to Raycast sensor (#3299) | 5 年前 |
Yuan Gao | 24a681bf | Updated the prefebs to enable inference | 5 年前 |
vincentpierre | 89605d02 |
Replaced .nn models with .onnx models
Missing so far : - Visual3DBall - CrawlerDynamicVariableSpeed - CrawlerStaticVariableSpeed - GridFoodCollector - VisualFoodCollector - GridWorld - Match3 |
4 年前 |
GitHub | bc0ba098 | add option for Burst inference (#4925) | 4 年前 |
vincentpierre | 4e14879d |
Updating the barracuda 1.4.0 (#5291)
Initial commit second commit. The no-extrinsic was trained without the log reward (reward = prob) while the new one is (reward = log_prob - log_prior) A few results, it looks like Walker-diverse-r05-bigger.onnx is doing something Modified pushblock using next state and action. Did not help Fixing bug that had 9 diversity settings instead of 8 removing results |
4 年前 |