benchmarl.algorithms.MaddpgConfig

class MaddpgConfig(share_param_critic: bool, loss_function: str, delay_value: bool, use_tanh_mapping: bool)

Bases: AlgorithmConfig

Configuration dataclass for Maddpg.

share_param_critic: bool = <dataclasses._MISSING_TYPE object>

loss_function: str = <dataclasses._MISSING_TYPE object>

delay_value: bool = <dataclasses._MISSING_TYPE object>

use_tanh_mapping: bool = <dataclasses._MISSING_TYPE object>

static associated_class() → Type[Algorithm]

The algorithm class associated to the config

static supports_continuous_actions() → bool

If the algorithm supports continuous actions

static supports_discrete_actions() → bool

If the algorithm supports discrete actions

static on_policy() → bool

If the algorithm has to be run on policy or off policy

static has_centralized_critic() → bool

If the algorithm uses a centralized critic