Adaptive Control Resolution in Decoupled Q-Learning for Continuous Control Tasks

Growing Q-Networks (GQN) adaptively increases control resolution from coarse to fine within decoupled Q-learning, reconciling the exploration benefits of coarse discretization during early training with the need for smooth control at convergence.