* Move linear encoding to NetworkBody
* moved encoders to processors (#4420)
* fix bad merge
* Get it running
* Replace mentions of visual_encoders
* Remove output_size property
* Fix tests
* Fix some references
* Revert test_simple_rl
* Fix networks test
* Make curiosity test more accomodating
* Rename total_input_size
* [Bug fix] Fix bug in GAIL gradient penalty (#4425) (#4426)
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com>
* Up number of steps
* Rename to visual_processors and vector_processors
Co-authored-by: andrewcoh <54679309+andrewcoh@users.noreply.github.com>
Co-authored-by: Andrew Cohen <andrew.cohen@unity3d.com>
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com>
* Fixes for Torch SAC and tests
* FIx recurrent sac test
* Properly update normalization for SAC-continuous
* Fix issue with log ent coef reporting in SAC Torch
* 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)
* Adding Hypernetwork modules and unit tests
* Edits
* Integration of the hypernetowrk to the trainer
* Update ml-agents/mlagents/trainers/torch/networks.py
Co-authored-by: Arthur Juliani <awjuliani@gmail.com>
* Making the default hyper and added the conditioning type None
* Reducing the number of hypernetwork layers
* addressing comments
Co-authored-by: Arthur Juliani <awjuliani@gmail.com>
* Fix of the target entropy for continuous SAC
* Lowering required steps of test and remove unecessary unsqueeze
* Changing the target from -dim(a)^2 to -dim(a) by removing implicit broadcasting