Major release, but mostly just minor changes and improvements.

• fixed some awkward behavior in Driving-v1 and DrivingGen-v1 shortest path policies.
• made info dictionary typing less strict. It can now contain no entries, or entries for keys other than agent IDs.
• fixed bug in sample_initial_agent_state function in PursuitEvasion-v1 environment
• fixed docstring formatting across entire package
• updated documentation

Minor release to fix a bug with setup.py and the newer agent models being saved as cuda tensors.

This release adds some more environments and agents, fixes some bugs, and tweaks some of the existing environments.

Major changes include:

• Added release notes section to the docs
• Added the AgentEnvWrapper class which can be used to incorporate a posggym.agents policy as part of an environment
• Added the StackEnv wrapper for converting a posggym.Env into accepting and outputting stacked arrays as opposed to dictionaries.
• Added the CooperativeReaching-v0 grid-world environment along with heuristic policies
• Updated the posggym.agents.Policy API to make it a bit less confusing
• Updated the Driving and DrivingGen envs to v1 which includes a few bug fixes and adds a number of improvements (Driving-v0 is no longer supported, including the Driving-v0 agent policies.)
• Added shortest path based policies for all Driving-v1 and DrivingGen-v1 environments
• Updated RL policies for Driving-v1
• Updated LevelBasedForaging environment to v3 which includes a number of small improvements, mainly around removing unused parameters (LevelBasedForaging-v2 is no longer supported, including the LevelBasedForaging-v2 agent policies.)
• Updated heuristic policies for LevelBasedForaging-v2 grid-world environment and added some RL policies for two scenarios
• Updated PursuitEvasion environment to v1 which removes unused parameters (PursuitEvasion-v0 is no longer supported, including the PursuitEvasion-v0 agent policies.)
• Updated agents for PursuitEvasion-v1
• Update agents for PredatorPrey-v0 including adding some new RL policies and heuristic policies
• Tested agent diversity for most of the grid world environments
• Cleaned up docstrings of a bunch of classes

This release is the first release of the full POSGGym (environments + agents).

Major changes include:

• Integration of the posggym.agents library (migrated from separate repo/library), with agents provided for all continuous environments, and 4/7 grid-world environments
• Addition of four continuous environments
• Major updates to documentation
• Improved support for installation via pip
• Many other improvements

• lowered gymnasium dependency version to >=0.26 so it's compatible with latest rllib version

Skipping v0.3.0 due to typo.

• Significant additions to the documentation
• Changed registered environments to have only a single default variation of each environment and then users can pass arguments to posggym.make to change the parameters of the environment
• updated wrappers including record video, rllib and pettingzoo wrappers
• updated all grid world environments to use pygame rendering
• updated keyboard agent to support 1D continuous actions
• migrated to ruff for linting
• made all environments observation_first (removed observation_first attribute from envs and models)
• added pre-commit support
• some other improvements, bug fixes, and tests

Patch update

• Updated install instructions to reflect availability of posggym on pypi

Major update

• Updated environment and model APIs to be more inline with Gymnasium and PettingZoo
• Adding extensive testing
• Updated all environments
• Added documentation

First release with classic, grid world, and lbf environment.

This is the release used for the BA-POSGMCP paper.

As of the time of the realease POSGGym has been updated and this version is depracated.