BaseEnv

class maze.core.env.base_env.BaseEnv

Interface definition for reinforcement learning environments defining the minimum required functionality for being considered an environment.

abstract close() → None

Performs any necessary cleanup.

abstract reset() → Any

Resets the environment and returns the initial state.

Returns:

the initial state after resetting.

abstract seed(seed: Any) → None

Sets the seed for this environment.

Commonly an integer is sufficient to seed the random number generator(s), but more expressive env-specific seed structured are also supported.

Param:

seed: the seed integer initializing the random number generator or an env-specific seed structure.

abstract step(action: Any) → Tuple[Any, Any, bool, Dict[Any, Any]]

Environment step function.

Parameters:

action – the selected action to take.

Returns:

state, reward, done, info