Continuous Control

Continuous control refers to robot policies that output real-valued action vectors (e.g., joint torques, velocities, or Cartesian deltas) rather than selecting from a discrete set of actions. Most physical robot manipulation tasks require continuous control because smooth, precise motion cannot be adequately represented by a finite action menu. Standard deep RL algorithms for continuous control include DDPG, TD3, and SAC; for imitation learning, behavioral cloning and Diffusion Policy are commonly used in continuous action spaces.