DeepMind Control Suite is a free benchmark released in early 2018 that provides continuous-state/time/action reinforcement-learning tasks (e.g., cartpole swing-up), standardized action/reward interfaces, and harder sparse-reward variants. Designed to complement and sometimes extend OpenAI Gym, it aims to make learning curves and cross-paper comparisons more informative; roadmap includes quadruped locomotion and multithreaded dynamics.