class_docstr: Multi-agent model that implements a centralized value function.
class_docstr_tok: ["Multi-agent","model","that","implements","a","centralized","value","function","."]
code: def forward(self, input_dict, state, seq_lens):
      return self.model.forward(input_dict, state, seq_lens)
  
imports: from gymnasium.spaces import Box
  from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.models.tf.tf_modelv2 import TFModelV2
  from ray.rllib.models.tf.fcnet import FullyConnectedNetwork
  from ray.rllib.models.torch.misc import SlimFC
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.models.torch.fcnet import FullyConnectedNetwork
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
label_desc: Use image node_id 2 for calling the CentralizedCriticModel obj's underlying member method code with example usage: obj.forward(input_dict, state, seq_lens) and returns: self