I’m working with OpenAI Gym environments and need to figure out how to pass custom arguments when creating an environment instance. I’ve been looking through documentation but can’t find clear examples of how to properly initialize environments with specific parameters.
For example, if I have a custom environment that needs configuration values like grid size, reward multipliers, or other settings, what’s the correct way to pass these during the make() call or environment initialization?
I tried a few approaches but keep running into errors. Has anyone successfully done this and can share the proper syntax or method?
another way is to just instantiate your env class directly without using make(). like env = YourCustomEnv(grid_size=20, reward_mult=2.0) instead of going through the registration process. works fine if you dont need the gym registry stuff and just want to quickly test diffrent configs.
I had the same confusion when I started working with custom gym environments. The key is understanding that you need to register your environment first with the custom parameters as part of the entry point kwargs. When you call gym.register(), you can pass a kwargs dictionary that contains your custom parameters. These get passed to your environment’s init method automatically. So if your environment accepts grid_size and reward_multiplier in its constructor, you register it like: gym.register(id=‘MyEnv-v0’, entry_point=‘path.to.your:Environment’, kwargs={‘grid_size’: 10, ‘reward_multiplier’: 1.5}). Then gym.make(‘MyEnv-v0’) will create your environment with those parameters. Alternatively, if you need different configurations, you can register multiple versions with different kwargs or pass additional parameters directly to make() if your environment supports it through **kwargs in its init method.