Insect-inspired modular architectures as inductive biases for reinforcement learning
arXiv:2604.22081v1 Announce Type: new
Abstract: Most reinforcement-learning (RL) controllers used in continuous control are architecturally centralized: observations are compressed into a single latent state from which both value estimates and actions…