* Initial Commit
* attempt at refactor
* Put all static methods into the CoreInternalBrain
* improvements
* more testing
* modifications
* renamed epsilon
* misc
* Now supports discrete actions
* added discrete support and RNN and visual. Left to do is refactor and save variables into models
* code cleaning
* made a tensor generator and applier
* fix on the models.py file
* Moved the Checks to a different Class
* Added some unit tests
* BugFix
* Need to generate the output tensors as well as inputs before executing the graph
* Made NodeNames static and created a new namespace
* Added comments to the TensorAppliers
* Started adding comments on the TensorGenerators code
* Added comments for the Tensor Generator
* Moving the helper classes into a separate folder
* Added initial comments to the TensorChecks
* Renamed NodeNames -> TensorNames
* Removing warnings in tests
* Now using Aut...
* 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
...
Bringing bucket of temp memory allocation optimizations:
* switched to Barracuda backed tensor across the board, helps to leverage allocators and reuse of the internal buffers
* added Barracuda 0.2.4 release, which bring another set of temp memory allocation fixes
* Removed obsolete 'TestDstWrongShape' test as it does not reflect how Barracuda tensors work
* Added proper test cleanup, to avoid warning messages from finalizer thread.
Only cosmetic and readability improvements. No functional changes were intended.
Utilities.cs
- Fixed comments across file
- Made class static
- Removed unnecessary imports
- Removed unused method arguments
- Renamed variables as appropriate to make usage clearer
- In AddRangeNoAlloc, disabled (by comment) Rider’s suggestion to revert to use of built-in Range field (Fixed)
- In TextureToTensorProxy, swapped order of first two arguments to be more in-line with convention of input, output
UtilitiesTests.cs
- Removed unnecessary imports
- Simplified array creation commands
GeneratorImp.cs
- Rider automatically deleted spaces on empty lines
- Changed call to TextureToTensorProxy to mirror new argument ordering
* Clean-up to UnityAgentsException.cs
- Removed unnecessary imports
- Fixed comment warning
- Fixed method header
* Improvements to Startup.cs
- Created const for SCENE_NAME field
- Fixed strin...
- Push (almost) all references to protobuf objects into the RpcCommunicator.
- Simplify the passing around of Agents and Agent Infos.
- Delete all references to the Batcher.
- Simplify the Environment Step by removing all of the reset and message counting logic.
- Finishes MLA-27 and MLA-28
* 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...
* Initial commit removing memories from C# and deprecating memory fields in proto
* initial changes to Python
* Adding functionalities
* Fixes
* adding the memories to the dictionary
* Fixing bugs
* tweeks
* Resolving bugs
* Recreating the proto
* Addressing comments
* Passing by reference does not work. Do not merge
* Fixing huge bug in Inference
* Applying patches
* fixing tests
* Addressing comments
* Renaming variable to reflect type
* test
* WIP VectorSensor and StackedSensor
* fix a few dumb mistakes
* more VectorSensor
* remove Update(), add util methods, hook into TensorGenerator
* WriteApdater to write to tensors and arrays
* write float observations
* used circular buffer for stacked obs
* cleanup
* fix unit tests
* docstrings
* undo accidental checkins
* rider suggestions, add range check
* bounds check before writing
* undo ProjectVersion.txt change
* fix unit tests
* unit test for VectorSensor
* StackingSensor tests
* missing meta file
* missing meta file
* WriteAdapter tests
* [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...
* initial commit
* Fixed the compilation errors
* fixing the tests
* Addressing the comment about the brain parameters
* Fixing typo
* Made timers more accurate
* addressing comments
* Better memory allocation
* Added some docstrings
* Adding better sensor validation
* Wrapped in #if DEBUG and also wrapped GenerateSensorData in a timer
* Timer changes
* 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
* Added the MLAgents.Demonstrations namespace
* Added the MLAgents.Editor namespace
* Overrided the .demo.meta files due to the change in namespace
* More namespace changes
* Added the sidechannels namespace
* Modified changelog and migrating docs
* Add hybrid action capability flag (#4576)
* Change BrainParametersProto to support ActionSpec (#4579)
* Assign new BrainParametersProto fields based on capabilities (#4581)
* ActionBuffer with hybrid actions for RemotePolicy (#4592)
* Barracuda inference for hybrid actions (#4611)
* Refactor BarracudaModel loader checks (#4629)
* Export separate nodes for continuous/discrete actions (#4655)
* Separate continuous/discrete actions in AgentActionProto (#4698)
* Force different nodes for new and deprecated action output (#4705)
GitHub
vincentpierre
Vincent-Pierre BERGES
Ervin T