* 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
* pass shape to WriteAdapter
* handle floats on python side
* cleanup
* whitespace
* rename GetFloatObservationShape, support uncompressed in RenderTexture sensor
* numpy float32
* remove unused using
* Float sensor and unit test
* replace asserts with exceptions, docstrings
* 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
* Making some fields and properties internal
* Fixing the formating
* Making more things internal
* Adressing the comments
* reverting the changes made to the recorder
* WriteAdapter public
* Have to make AgentInfo and TensorProxy public because of changes to write adapter and the demorecorder
* Add the VectorSensor to the CollectObservation call
* Example of API change for BalanceBall
* Modified the Examples
* Changes to the migrating doc
* Editing the docs
* Update docs/Learning-Environment-Design-Agents.md
Co-Authored-By: Chris Elion <chris.elion@unity3d.com>
* Update docs/Migrating.md
Co-Authored-By: Chris Elion <chris.elion@unity3d.com>
* Update docs/Migrating.md
Co-Authored-By: Chris Elion <chris.elion@unity3d.com>
* Update docs/Getting-Started-with-Balance-Ball.md
Co-Authored-By: Chris Elion <chris.elion@unity3d.com>
* addressing comments
* Removed the MLAgents.Sensor namespace
* Removing the MLAgents.Sensor namespace from the tests
* Editing the migrating docs
Co-authored-by: Chris Elion <celion@gmail.com>
* 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
Christopher Goy