* Begin porting work
* Add ResNet and distributions
* Dynamically construct actor and critic
* Initial optimizer port
* Refactoring policy and optimizer
* Resolving a few bugs
* Share more code between tf and torch policies
* Slightly closer to running model
* Training runs, but doesn’t actually work
* Fix a couple additional bugs
* Add conditional sigma for distribution
* Fix normalization
* Support discrete actions as well
* Continuous and discrete now train
* Mulkti-discrete now working
* Visual observations now train as well
* GRU in-progress and dynamic cnns
* Fix for memories
* Remove unused arg
* Combine actor and critic classes. Initial export.
* Support tf and pytorch alongside one another
* Prepare model for onnx export
* Use LSTM and fix a few merge errors
* Fix bug in probs calculation
* Optimize np -> tensor operations
* Time action sample funct...
* Add torch_utils
* Use torch from torch_utils
* Add torch to banned modules in CI
* Better import error handling
* Fix flake8 errors
* Address comments
* Move networks to GPU if enabled
* Switch to torch_utils
* More flake8 problems
* Move reward providers to GPU/CPU
* Remove anothere set default tensor
* Fix banned import in test
* 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)
* Make modelCheck have flavors of error messages
* ONNX exporter v3
* Using a better CheckType and a switch statement
* Removing unused message
* More tests
* Use an enum for valid versions and use GetVersion on model directly
* Maybe the model export version a static constant in Python
* Use static constructor for FailedCheck
* Use static constructor for FailedCheck
* Modifying the docstrings
* renaming LegacyDiscreteActionOutputApplier
* removing testing code
* better warning message
* Nest the CheckTypeEnum into the FailedCheck class
* Update com.unity.ml-agents/Runtime/Inference/BarracudaModelParamLoader.cs
* Adding a line explaining that legacy tensor checks are for versions 1.X only
* Modifying the changelog
* Exporting all the branches size instead of omly the sum (#5092)
* addressing comments
* Update com.unity.ml-agents/Runtime/Inference/BarracudaModelParamLoader.cs
Co-authored...
GitHub
Ruo-Ping Dong
Ervin Teng
Andrew Cohen
vincentpierre
Arthur Juliani