code: def __init__(self, config: MultiAgentRLModuleConfig) -> None:
      super().__init__(config)
  
imports: from typing import Any, Mapping
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.core.rl_module.rl_module import RLModule, RLModuleConfig
  from ray.rllib.models.torch.torch_distributions import TorchCategorical
  from ray.rllib.core.rl_module.marl_module import MultiAgentRLModuleConfig, MultiAgentRLModule
  from ray.rllib.core.rl_module.torch.torch_rl_module import TorchRLModule
  from ray.rllib.core.models.specs.typing import SpecType
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.nested_dict import NestedDict
label_desc: Use image node_id 1 to create a new BCTorchMultiAgentModuleWithSharedEncoder object from inherited base classes: MultiAgentRLModule with example: obj = BCTorchMultiAgentModuleWithSharedEncoder(config)