• Bugfix in multi-agent handler to check if the simulation is finished (#38 )
• Consistent use of gymnasium rather than gym everywhere

mobile-env v2.0.0

• Breaking change: Switch from gym to gymnasium, which changes the API of step() and reset(): https://gymnasium.farama.org/content/migration-guide/
• Updated notebooks
• Code style black and pre-commits + added tests

• updated demo notebook
• fixes an issue where passed configs were not merged correctly

Adds support for custom metrics to mobile-env. Core functionality itself unchanged.

Fixes in the CI and doc build system. mobile-env functionality itself unchanged.

First major release of mobile-env:

• Simple, lightweight simulation environment for reinforcement learning in wireless mobile networks
• Easy installation and configuration
• Many options for extension, e.g., user movement, quality of experience models, channel models, etc.
• New interactive Google CoLab demonstrating some of these features

• Added tutorial notebook
• Removed poetry in favor of plain pip
• Multiple, small adjustments and refactoring without added functionality

Base Functionality: Release v0.2.7

Core Environment:

• added rendering functionality
• ensured customizability of core simulation components
• added various simulation scenarios (small - large)
• added handlers for centralized & multi-agent setting
• added environment wrapper for integration with RLlib for multi-agent setting

Builds:

• added CI/CD and documentation
• updated pypi-publish workflow
• support for python3.7 & python3.8