Modular insect-inspired RL architecture with arbitration outperforms centralized GRU and MLP baselines on a multi-objective navigation task, showing higher returns, lower value loss, and selective module use.
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Insect-inspired modular architectures as inductive biases for reinforcement learning
Modular insect-inspired RL architecture with arbitration outperforms centralized GRU and MLP baselines on a multi-objective navigation task, showing higher returns, lower value loss, and selective module use.