* 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.
* Fixing learn.py, trainer_controller.py, and Docker
- learn.py has been moved under trainers.
- this was a two line change
- learn.py will no longer be run as a main method
- docopt arguments are strings by default. learn.py now uses
this assumption to correctly parse arguments.
- trainer_controller.py now considers the Docker volume when
accepting a trainer config file path.
- the Docker container now uses mlagents-learn.
* Removing extraneous unity-volume ref.
* Initial Commit
Ported most functionalities, still need to :
- Documentation
- Add Comments
- Custom drawer for BrainParameters
- Fix the UnitTests
- Review Functionalities
* Added Custom Drawer for the Brain Parameters
* Improvements to the HubDrawer
* Modified the Brain Editors
* Minor bug fixes and UI changes
* Modified the Help Boxes of the Drawers
* Modified Brain class, renamed Initialize and made DecideAction virtual
* Fix the UnityTests
* Simpler Brain creation menu
* Renamed Internal Brain to Learning Brain
* modified the parameters to remove reference to External or Internal in the Protobuf objects
* Updated the protobuf generated files
* Fix the Pytests
* Removed the graph scope from the Learning Brain
* cleaner logic than try catch
* Removed the isExternal field of the brain and put the isTraining logic into LearningBrain and Training Hub
* Modified how the Brain finds the A...
* Fix Typo #1323
* First update to the docs
* Addressed comments
* remove references to TF#
* Replaced the references to TF# with new document.
* Edditied the FAQ
* Documentation Update
* addressed comments
* new images for the recorder
* Improvements to the docs
* Address the comments
* Core_ML typo
* Updated the links to inference repo
* Put back Inference-Engine.md
* fix typos : brain
* Readd deleted file
* fix typos
* Addressed comments
* 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
...
We need to document the meaning of the two new flags added for
multi-environment training. We may also want to add more specific
instructions for people wanting to speed up training in the future.
* update title caps
* Rename Custom-Protos.md to Creating-Custom-Protobuf-Messages.md
* Updated with custom protobuf messages
* Cleanup against to our doc guidelines
* Minor text revision
* Create Training-Concurrent-Unity-Instances
* Rename Training-Concurrent-Unity-Instances to Training-Concurrent-Unity-Instances.md
* update to right format for --num-envs
* added link to concurrent unity instances
* Update and rename Training-Concurrent-Unity-Instances.md to Training-Using-Concurrent-Unity-Instances.md
* Added considerations section
* Update Training-Using-Concurrent-Unity-Instances.md
* cleaned up language to match doc
* minor updates
* retroactive migration from 0.6 to 0.7
* Updated from 0.7 to 0.8 migration
* Minor typo
* minor fix
* accidentally duplicated step
* updated with new features list
* Add Sampler and SamplerManager
* Enable resampling of reset parameters during training
* Documentation for Sampler and example YAML configuration file
* Fix naming conventions for consistency
* Add generalization link to ML-Agents Overview
* Add generalization to main Readme
* Include types of samplers available for use
* Included explicit version # for ZN
* added explicit version for KR docs
* minor fix in installation doc
* Consistency with numbers for reset parameters
* Removed extra verbiage. minor consistency
* minor consistency
* Cleaned up IL language
* moved parameter sampling above in list
* Cleaned up language in Env Parameter sampling
* Cleaned up migrating content
* updated consistency of Reset Parameter Sampling
* Rename Training-Generalization-Learning.md to Training-Generalization-Reinforcement-Learning-Agents.md
* Updated doc link for generalization
* Rename Training-Generalization-Reinforcement-Learning-Agents.md to Training-Generalized-Reinforcement-Learning-Agents.md
* Re-wrote the intro paragraph for generalization
* add titles, cleaned up language for reset params
* Update Training-Generalized-Reinforcement-Learning-Agents.md
* cleanup of generalization doc
* More cleanu...
* Add Soft Actor-Critic model, trainer, and policy and sac_trainer_config.yaml
* Add documentation for SAC and tweak PPO documentation to reference the new pages.
* Add tests for SAC, change simple_rl test to run both PPO and SAC.
* 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.
* 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
* Modified the scen...
* 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...
* [WIP] Side Channel initial layout
* Working prototype for raw bytes
* fixing format mistake
* Added some errors and some unit tests in C#
* Added the side channel for the Engine Configuration. (#2958)
* Added the side channel for the Engine Configuration.
Note that this change does not require modifying a lot of files :
- Adding a sender in Python
- Adding a receiver in C#
- subscribe the receiver to the communicator (here is a one liner in the Academy)
- Add the side channel to the Python UnityEnvironment (not represented here)
Adding the side channel to the environment would look like such :
```python
from mlagents.envs.environment import UnityEnvironment
from mlagents.envs.side_channel.raw_bytes_channel import RawBytesChannel
from mlagents.envs.side_channel.engine_configuration_channel import EngineConfigurationChannel
channel0 = RawBytesChannel()
channel1 = EngineConfigurationChanne...
* Updated Brain Reference in Training ML Agents
* Removed reference to Brain object
* Update docs/Training-ML-Agents.md
Co-Authored-By: Chris Elion <chris.elion@unity3d.com>
* Update docs/Training-ML-Agents.md
Co-Authored-By: Chris Elion <chris.elion@unity3d.com>
The "num-runs" command-line option provides the ability to run multiple
identically-configured training runs in separate processes by running
mlagents-learn only once. This is a rarely used ML-Agents feature,
but it adds complexity to other parts of the system by adding the need
to support multiprocessing and managing of ports for the parallel training
runs. It also doesn't provide truly reproducible experiments, since there
is no guarantee of resource isolation between the trials.
This commit removes the --num-runs option, with the idea that users will
manage parallel or sequential runs of the same experiment themselves in the
future.
* Fix the main releases table by generating from the script.
* Minor formatting fix
* Removing references to Cloud Training as those docs are now deprecated.
* Removing the link to video tutorials as they are now not current
* Various doc improvements
For Using-Virtual-Environment.md:
- Made a note regarding updating setuptools and pip.
- Changed lists from "-" to "*"
For Using-Tensorboard.md:
- Changed the ordered list to use "1."
For Training-on-Microsoft-Azure-Custom-Instance.md:
- Deleted as it was not linked anywhere
For FAQ.md
- Removed stale issues given upgrade to 2018.3
For Readme.md
- Added links for Reward Signals, Self-Play and Profiling Trainers
For Learning-Environment-Executable.md
- Changed the ordered list to use "1."
For Learning-Environment-Examples.md
- Minor rewording of intro paragraphs
* consolidating custom instances page in main page
So we have a single page for Azure.
Adding warning note for deprecated docs
* Fixing doc links that are failing CI
* Improvements to Training-ML-Agents
- Removed duplicate documentation
- Moved CLI descriptions to learn.py
- Reorganized "Training with mlagents-learn" into 5 sub-sections
* fixed formatting errors and incorporated minor feedback
* minor improvement
* Minor formatting.
* fixed run-id references
* Keeping link to use Inference consistent with master
Will update the UIE page in a separate PR.
* Squashed commit of the following:
commit 9600d0fbe6684eca69fb5bab84ab0f6754fc8b0f
Author: Marwan Mattar <marwan@unity3d.com>
Date: Tue Apr 14 17:45:33 2020 -0700
Various doc improvements (#3775)
* Various doc improvements
For Using-Virtual-Environment.md:
- Made a note regarding updating setuptools and pip.
- Changed lists from "-" to "*"
For Using-Tensorboard.md:
- Changed the ordered list to use "1."
For Training-on-Microsoft-Azure-Custom-Instance.md:
- Deleted ...
* Improvements to Key Components section of ML-Agents Overview
- Moved some documentation from Learning-Environment-Design.
- Added the trainers vs LL-API separation.
- Made a note about gym-unity.
- Some update to the Agent/Behavior sections
- Updated diagrams to reflect new side channels. Made Behavior type a consistent color.
* Reorganizing the overview file and creating new (empty) sections
This change defines the new structure for the overview doc. Subsequent commits will fill in the sections and rewrite existing sections.
* Reorganizing the main Training ML-Agents page
Re-organizes into feature-specific sections that somewhat mirror the previous commit of reorganizing the overview doc.
Subsequent commits will populate these empty sections.
* Adding Deep RL
- Update ML-Agents-Overview with description of DeepRL training algorithms
- Decribe the common and trainer-specific hyperparams in Training-ML-Agents.
- Removed ...
* [bug-fix] Fix issue with initialize not resetting step count (#3962)
* Develop better error message for #3953 (#3963)
* Making the error for wrong number of agents raise consistently
* Better error message for inputs of wrong dimensions
* Fix#3932, stop the editor from going into a loop when a prefab is selected. (#3949)
* Minor doc updates to release
* add unit tests and fix exceptions (#3930)
Co-authored-by: Ervin T <ervin@unity3d.com>
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com>
Co-authored-by: Chris Goy <christopherg@unity3d.com>
* update versions for patch release (#3970)
* update versions for patch releae
* Update precommit flake8 (#3961)
* fix changelog
* Release 2 cherry pick (#3971)
* [bug-fix] Fix issue with initialize not resetting step count (#3962)
* Develop better error message for #3953 (#3963)
* Making the error for wrong number of agents raise consistently
* Better error message for inputs of wrong dimensions
* Fix#3932, stop the editor from going into a loop when a prefab is selected. (#3949)
* Minor doc updates to release
* add unit tests and fix exceptions (#3930)
Co-authored-by: Ervin T <ervin@unity3d.com>
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com>
Co-authored-by: Chris Goy <christopherg@unity3d.com>
* update changelog (#3975)
* [docs] Add memory_size hyperparameter (#3973)
* Release 2 docs (#3976)
* Add v1.0 blog post and update reference paper. (#3947)
* Develop mm fix readme rel...
* Update Dockerfile
* Separate send environment data from reset (#4128)
* Fixed a typo on ML-Agents-Overview.md (#4130)
Fixed redundant "to" word from the sentence since it is probably a typo in document.
* Updated the badge’s link to point to the newest doc version
* Replaced all of the doc to release_3_doc
* Fix 3DBall and 3DBallHard SAC regressions (#4132)
* Move memory validation to settings
* Update docs
* Add settings test
* Update to release_3 in installation.md (#4144)
* rename to SideChannelManager +backcompat (#4137)
* Remove comment about logo with --help (#4148)
* [bugfix] Make FoodCollector heuristic playable (#4147)
* Make FoodCollector heuristic playable
* Update changelog
* script to check for old release links and references (#4153)
* Remove package validation suite from Project (#4146)
* RayPerceptionSensor: handle empty and invalid tags (#4155...
* Introduced the Constant Parameter Sampler that will be useful later as samplers and floats can be used interchangeably
* Refactored the settings.py to refect the new format of the config.yaml
* First working version
* Added the unit tests
* Update to Upgrade for Updates
* fixing the tests
* Upgraded the config files
* Fixes
* Additional error catching
* addressing some comments
* Making the code nicer with cattr
* Added and registered an unstructure hook for PrameterRandomization
* Updating C# Walljump
* Adding comments
* Add test for settings export (#4164)
* Add test for settings export
* Update ml-agents/mlagents/trainers/tests/test_settings.py
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com>
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com>
* Including environment parameters for the test for settings export
* First documentation up...
* Added link to training configuration file
Realized this link to the configuration file is not linked on this page
* added clarity on checkpoints saving .nn
Updated doc to include point around saving .nn
* Update docs/Training-Configuration-File.md
Co-authored-by: Chris Elion <chris.elion@unity3d.com>
* Torch setup.py
* Set torch to default
* Make torch default in setup.py
* Remove indents
* Remove other instances of TF being used
* Add tensorboard to setup.py
* Adding correst setup commands for verifying torch is installed (#4524)
* Adding correst setup commands for verifying torch is installed
* Editing the test_requirments to add tf and remove torch
* Develop torchdefault raise outside setup (#4530)
* Torch not imported error to raise at first usage
* Torch not imported error to raise at first usage
* [refactor] Use PyTorch TensorBoard utils (#4518)
* Convert stats writer to use PyTorch TB support
* Use common function to print params
* Update test
* Bump tensorboard to 1.15 to fix the tests
* putting tensorboard 1.15.0 as min version requirement
Co-authored-by: vincentpierre <vincentpierre@unity3d.com>
* [Docs] Initial documentation changes for making...
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Joe Ward
Marwan Mattar
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vincentpierre
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Ervin T
Jeffrey Shih
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