# Decentralized Actor Architecture (NerveNet-MLP variant)
# Multi-agent/distributed configuration using local sensors, propagators, and motors.

# Default values are defined in DecentralizedConfig dataclass.
# Use this configuration for decentralized execution experiments.

sensor:
  hidden_dims: [64, 64]
  activation: "tanh"

propagator:
  hidden_dims: [64, 64]
  activation: "tanh"

motor:
  hidden_dims: []
  activation: "tanh"

feature_extractor:
  hidden_dims: [64, 64]
  activation: "tanh"

critic:
  hidden_dims: []
  activation: "tanh"

# Synchronous message-passing rounds per control step
message_passing_steps: 1

# Connectivity topology (e.g., ring, fully_connected)
topology_type: "ring"