* More efficiently allocate memory when sending states
* Code clean-up
* Additional changes
* More GC reduction
* Remove state list initialization from example environments
* Use built-in json tool to serialize state message
* Remove commented code
* Use more efficient CompareTag
* Comments before code
* Use type inference where appropriate
* Implement behavioral cloning for cc/dc, fc/rnn, state/observations.
* Re-organize folder structure in anticipation of unitytrainers as a package.
* Create demo environment BananaImitation to validate behavioral cloning.
* Fixes#336
* On Demand Decision : Use RequestDecision and RequestAction
* New Agent Inspector : Use it to set On Demand Decision
* New BrainParameters interface
* LSTM memory size is now set in python
* New C# API
* Semantic Changes
* Replaced RunMDP
* New Bouncer Environment to test On Demand Dscision
This completes adding API doc to all developer-facing classes: Academy, Agent and Monitor.
- Minor refactoring of variable names for spelling correctness:
- isInstanciated —> isInstantiated
- InstanciateCanvas() —> InstantiateCanvas()
- Removed unused imports.
- Removing private declarations.
* [Refactor] Fixed line indentation
* Removed the library Newtonsoft.Json from the monitor
* Replaced calls to JSON converstion with manual conversion
* [Modified] The Monitor now has multiple
* Log methods that take different object types
* 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
vincentpierre
GitHub
Marwan Mattar
Arthur Juliani
Christopher Goy