ml-agents/com.unity.ml-agents/CHANGELOG.md

Changelog

All notable changes to this package will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

[Unreleased]

Major Changes

• The --load and --train command-line flags have been deprecated. Training now happens by default, and use --resume to resume training instead. (#3705)
• The Jupyter notebooks have been removed from the repository.
• Introduced the SideChannelUtils to register, unregister and access side channels.
• Academy.FloatProperties was removed, please use SideChannelUtils.GetSideChannel<FloatPropertiesChannel>() instead.
• Removed the multi-agent gym option from the gym wrapper. For multi-agent scenarios, use the Low Level Python API.
• The low level Python API has changed. You can look at the document Low Level Python API documentation for more information. If you use mlagents-learn for training, this should be a transparent change.
• Added ability to start training (initialize model weights) from a previous run ID. (#3710)
• The internal event Academy.AgentSetStatus was renamed to Academy.AgentPreStep and made public.
• The offset logic was removed from DecisionRequester.
• The signature of Agent.Heuristic() was changed to take a float[] as a parameter, instead of returning the array. This was done to prevent a common source of error where users would return arrays of the wrong size.
• The communication API version has been bumped up to 1.0.0 and will use Semantic Versioning to do compatibility checks for communication between Unity and the Python process.
• The obsolete Agent methods GiveModel, Done, InitializeAgent, AgentAction and AgentReset have been removed.
• The GhostTrainer has been extended to support asymmetric games and the asymmetric example environment Strikers Vs. Goalie has been added.

Minor Changes

• Format of console output has changed slightly and now matches the name of the model/summary directory. (#3630, #3616)
• Added a feature to allow sending stats from C# environments to TensorBoard (and other python StatsWriters). To do this from your code, use SideChannelUtils.GetSideChannel<StatsSideChannel>().AddStat(key, value) (#3660)
• Renamed 'Generalization' feature to 'Environment Parameter Randomization'.
• Timer files now contain a dictionary of metadata, including things like the package version numbers.
• SideChannel IncomingMessages methods now take an optional default argument, which is used when trying to read more data than the message contains.
• The way that UnityEnvironment decides the port was changed. If no port is specified, the behavior will depend on the file_name parameter. If it is None, 5004 (the editor port) will be used; otherwise 5005 (the base environment port) will be used.
• Fixed an issue where exceptions from environments provided a returncode of 0. (#3680)
• Running mlagents-learn with the same --run-id twice will no longer overwrite the existing files. (#3705)
• StackingSensor was changed from internal visibility to public
• Updated Barracuda to 0.6.3-preview.

Bug Fixes

• Fixed a display bug when viewing Demonstration files in the inspector. The shapes of the observations in the file now display correctly. (#3771)

[0.15.1-preview] - 2020-03-30

Bug Fixes

• Raise the wall in CrawlerStatic scene to prevent Agent from falling off. (#3650)
• Fixed an issue where specifying vis_encode_type was required only for SAC. (#3677)
• Fixed the reported entropy values for continuous actions (#3684)
• Fixed an issue where switching models using SetModel() during training would use an excessive amount of memory. (#3664)
• Environment subprocesses now close immediately on timeout or wrong API version. (#3679)
• Fixed an issue in the gym wrapper that would raise an exception if an Agent called EndEpisode multiple times in the same step. (#3700)
• Fixed an issue where logging output was not visible; logging levels are now set consistently. (#3703)

[0.15.0-preview] - 2020-03-18

Major Changes

• Agent.CollectObservations now takes a VectorSensor argument. (#3352, #3389)
• Added Agent.CollectDiscreteActionMasks virtual method with a DiscreteActionMasker argument to specify which discrete actions are unavailable to the Agent. (#3525)
• Beta support for ONNX export was added. If the tf2onnx python package is installed, models will be saved to .onnx as well as .nn format. Note that Barracuda 0.6.0 or later is required to import the .onnx files properly
• Multi-GPU training and the --multi-gpu option has been removed temporarily. (#3345)
• All Sensor related code has been moved to the namespace MLAgents.Sensors.
• All SideChannel related code has been moved to the namespace MLAgents.SideChannels.
• BrainParameters and SpaceType have been removed from the public API
• BehaviorParameters have been removed from the public API.
• The following methods in the Agent class have been deprecated and will be removed in a later release:
  • InitializeAgent() was renamed to Initialize()
  • AgentAction() was renamed to OnActionReceived()
  • AgentReset() was renamed to OnEpisodeBegin()
  • Done() was renamed to EndEpisode()
  • GiveModel() was renamed to SetModel()

Minor Changes

• Monitor.cs was moved to Examples. (#3372)
• Automatic stepping for Academy is now controlled from the AutomaticSteppingEnabled property. (#3376)
• The GetEpisodeCount, GetStepCount, GetTotalStepCount and methods of Academy were changed to EpisodeCount, StepCount, TotalStepCount properties respectively. (#3376)
• Several classes were changed from public to internal visibility. (#3390)
• Academy.RegisterSideChannel and UnregisterSideChannel methods were added. (#3391)
• A tutorial on adding custom SideChannels was added (#3391)
• The stepping logic for the Agent and the Academy has been simplified (#3448)
• Update Barracuda to 0.6.1-preview

• The interface for RayPerceptionSensor.PerceiveStatic() was changed to take an input class and write to an output class, and the method was renamed to Perceive().

• The checkpoint file suffix was changed from .cptk to .ckpt (#3470)
• The command-line argument used to determine the port that an environment will listen on was changed from --port to --mlagents-port.
• DemonstrationRecorder can now record observations outside of the editor.
• DemonstrationRecorder now has an optional path for the demonstrations. This will default to Application.dataPath if not set.
• DemonstrationStore was changed to accept a Stream for its constructor, and was renamed to DemonstrationWriter
• The method GetStepCount() on the Agent class has been replaced with the property getter StepCount
• RayPerceptionSensorComponent and related classes now display the debug gizmos whenever the Agent is selected (not just Play mode).
• Most fields on RayPerceptionSensorComponent can now be changed while the editor is in Play mode. The exceptions to this are fields that affect the number of observations.
• Most fields on CameraSensorComponent and RenderTextureSensorComponent were changed to private and replaced by properties with the same name.
• Unused static methods from the Utilities class (ShiftLeft, ReplaceRange, AddRangeNoAlloc, and GetSensorFloatObservationSize) were removed.
• The Agent class is no longer abstract.
• SensorBase was moved out of the package and into the Examples directory.
• AgentInfo.actionMasks has been renamed to AgentInfo.discreteActionMasks.
• DecisionRequester has been made internal (you can still use the DecisionRequesterComponent from the inspector). RepeatAction was renamed TakeActionsBetweenDecisions for clarity. (#3555)
• The IFloatProperties interface has been removed.
• Fix #3579.
• Improved inference performance for models with multiple action branches. (#3598)
• Fixed an issue when using GAIL with less than batch_size number of demonstrations. (#3591)
• The interfaces to the SideChannel classes (on C# and python) have changed to use new IncomingMessage and OutgoingMessage classes. These should make reading and writing data to the channel easier. (#3596)
• Updated the ExpertPyramid.demo example demonstration file (#3613)
• Updated project version for example environments to 2018.4.18f1. (#3618)
• Changed the Product Name in the example environments to remove spaces, so that the default build executable file doesn't contain spaces. (#3612)

[0.14.1-preview] - 2020-02-25

Bug Fixes

• Fixed an issue which caused self-play training sessions to consume a lot of memory. (#3451)
• Fixed an IndexError when using GAIL or behavioral cloning with demonstrations recorded with 0.14.0 or later (#3464)
• Updated the gail_config.yaml to work with per-Agent steps (#3475)
• Fixed demonstration recording of experiences when the Agent is done. (#3463)
• Fixed a bug with the rewards of multiple Agents in the gym interface (#3471, #3496)

[0.14.0-preview] - 2020-02-13

Major Changes

• A new self-play mechanism for training agents in adversarial scenarios was added (#3194)
• Tennis and Soccer environments were refactored to enable training with self-play (#3194, #3331)
• UnitySDK folder was split into a Unity Package (com.unity.ml-agents) and our examples were moved to the Project folder (#3267)
• Academy is now a singleton and is no longer abstract (#3210, #3184)
• In order to reduce the size of the API, several classes and methods were marked as internal or private. Some public fields on the Agent were trimmed (#3342, #3353, #3269)
• Decision Period and on-demand decision checkboxes were removed from the Agent. on-demand decision is now the default (#3243)
• Calling Done() on the Agent will reset it immediately and call the AgentReset virtual method (#3291, #3242)
• The "Reset on Done" setting in AgentParameters was removed; this is now always true. AgentOnDone virtual method on the Agent was removed (#3311, #3222)
• Trainer steps are now counted per-Agent, not per-environment as in previous versions. For instance, if you have 10 Agents in the scene, 20 environment steps now correspond to 200 steps as printed in the terminal and in Tensorboard (#3113)

Minor Changes

• Barracuda was updated to 0.5.0-preview (#3329)
• --num-runs option was removed from mlagents-learn (#3155)
• Curriculum config files are now YAML formatted and all curricula for a training run are combined into a single file (#3186)
• ML-Agents components, such as BehaviorParameters and various Sensor implementations, now appear in the Components menu (#3231)
• Exceptions are now raised in Unity (in debug mode only) if NaN observations or rewards are passed (#3221)
• RayPerception MonoBehavior, which was previously deprecated, was removed (#3304)
• Uncompressed visual (i.e. 3d float arrays) observations are now supported. CameraSensorComponent and RenderTextureSensor now have an option to write uncompressed observations (#3148)
• Agent’s handling of observations during training was improved so that an extra copy of the observations is no longer maintained (#3229)
• Error message for missing trainer config files was improved to include the absolute path (#3230)
• Support for 2017.4 LTS was dropped (#3121, #3168)
• Some documentation improvements were made (#3296, #3292, #3295, #3281)

Bug Fixes

• Numpy warning when stats don’t exist (#3251)
• A bug that caused RayPerceptionSensor to behave inconsistently with transforms that have non-1 scale was fixed (#3321)
• Some small bugfixes to tensorflow_to_barracuda.py were backported from the barracuda release (#3341)
• Base port in the jupyter notebook example was updated to use the same port that the editor uses (#3283)

[0.13.0-preview] - 2020-01-24

This is the first release of Unity Package ML-Agents.

Short description of this release