Source code for xuance.torch.agents.qlearning_family.ddqn_agent

from argparse import Namespace
from gymnasium.spaces import Space
from xuance.common import Optional, BaseCallback
from xuance.environment import DummyVecEnv, SubprocVecEnv
from xuance.torch.agents.qlearning_family.dqn_agent import DQN_Agent




class DDQN_Agent(DQN_Agent):
    """The implementation of Double DQN agent.

    Args:
        config: the Namespace variable that provides hyperparameters and other settings.
        envs: the vectorized environments.
        callback: A user-defined callback function object to inject custom logic during training.
    """
    def __init__(
            self,
            config: Namespace,
            envs: Optional[DummyVecEnv | SubprocVecEnv] = None,
            observation_space: Optional[Space] = None,
            action_space: Optional[Space] = None,
            callback: Optional[BaseCallback] = None
    ):
        super(DDQN_Agent, self).__init__(config, envs, observation_space, action_space, callback)