opksail.blogg.se - Unity latest version download

Added support for having beta, epsilon, and learning rate on separate schedules (affects only PPO and POCA).

Set gym version in gym-unity to gym release 0.20.0 ( #5540).

Ml-agents / ml-agents-envs / gym-unity (Python)

Added the ability to get a read-only view of the stacked observations ( #5523).

Added the capacity to initialize behaviors from any checkpoint and not just the latest one ( #5525).

Ml-agents / ml-agents-envs / gym-unity (Python) Minor Changes -agents / (C#)

Update Barracuda to 2.3.1-preview ( #5591).

Added a new feature to replicate training areas dynamically during runtime.

The minimum supported Unity version was updated to 2020.3.

Renaming the path that shadows torch with "mlagents/trainers/torch_entities" and update respective imports (#)īug Fixes -agents / (C#) ml-agents / ml-agents-envs.

Added suppport for enabling/disabling camera object attached to camera sensor in order to improve performance.

Current alternating order is still the default but will be deprecated.

Added switch to RayPerceptionSensor to allow rays to be ordered left to right.

Versioned under ml-agents-envs package in the future (#)

We moved UnityToGymWrapper and PettingZoo API to ml-agents-envs package.

Add shared critic configurability for PPO.

The minimum supported version of PyTorch was changed to 1.8.0.

The minimum supported Python version for ML-agents has changed to 3.8.13.

Refactored core modules to make ML-Agents internal classes more generalizable to various RL algorithms.

ML-Agents Custom Trainers plugin is an extensible plugin system to define new trainers based on the.

Add your trainers to the package using Ml-Agents Custom Trainers plugin.

The minimum supported Unity version was updated to 2021.3.Release Notes Major Changes -agents / (C#) NOTE: It is strongly recommended that you use packages from the same release together for the best experience.