Merge pull request #229 from Farama-Foundation/main

update mazev5 branch

README.md

@@ -24,6 +24,7 @@ We support and test for Python 3.8, 3.9, 3.10 and 3.11 on Linux and macOS. We wi
 
 * [Fetch](https://robotics.farama.org/envs/fetch/) - A collection of environments with a 7-DoF robot arm that has to perform manipulation tasks such as Reach, Push, Slide or Pick and Place.
 * [Shadow Dexterous Hand](https://robotics.farama.org/envs/shadow_dexterous_hand/) - A collection of environments with a 24-DoF anthropomorphic robotic hand that has to perform object manipulation tasks with a cube, egg-object, or pen. There are variations of these environments that also include data from 92 touch sensors in the observation space.
+* [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) - A collection of multi agent factorizations of the [Gymnasium/MuJoCo](https://gymnasium.farama.org/environments/mujoco/) environments and a framework for factorizing robotic environments, uses the [pettingzoo.ParallelEnv](https://pettingzoo.farama.org/api/parallel/) API. 
 
 The [D4RL](https://github.com/Farama-Foundation/D4RL) environments are now available. These environments have been refactored and may not have the same action/observation spaces as the original, please read their documentation:
 
@@ -32,8 +33,6 @@ The [D4RL](https://github.com/Farama-Foundation/D4RL) environments are now avail
 The different tasks involve hammering a nail, opening a door, twirling a pen, or picking up and moving a ball.
 * [Franka Kitchen](https://robotics.farama.org/envs/franka_kitchen/) - Multitask environment in which a 9-DoF Franka robot is placed in a kitchen containing several common household items. The goal of each task is to interact with the items in order to reach a desired goal configuration.
 
-* [MaMuJoCo](https://robotics.farama.org/envs/MaMuJoCo/) - A collection of multi agent factorizations of the [Gymnasium/MuJoCo](https://gymnasium.farama.org/environments/mujoco/) environments and a framework for factorizing robotic environments, uses the [pettingzoo.ParallelEnv](https://pettingzoo.farama.org/api/parallel/) API. 
-
 **WIP**: generate new `D4RL` environment datasets with [Minari](https://github.com/Farama-Foundation/Minari).
 
 ## Multi-goal API

gymnasium_robotics/envs/robot_env.py

@@ -190,7 +190,7 @@ def reset(
     def _mujoco_step(self, action):
         """Advance the mujoco simulation.
 
-        Override depending on the python binginds, either mujoco or mujoco_py
+        Override depending on the python bindings, either mujoco or mujoco_py
         """
         raise NotImplementedError
 

pyproject.toml

@@ -24,7 +24,7 @@ classifiers = [
     'Topic :: Scientific/Engineering :: Artificial Intelligence',
 ]
 dependencies = [
-    "mujoco>=2.2.0",
+    "mujoco>=2.2.0, <3.2.0",
     "numpy>=1.21.0",
     "gymnasium>=1.0.0a2",
     "PettingZoo>=1.23.0",