Reinforcement learning is closely aligned with biological learning, showcasing its significance in the field. Recent breakthroughs, such as routing balloons in the stratosphere and plasma control for fusion reactors, highlight the capability of deep RL to tackle complex control problems. This progress instills optimism for scaling RL and achieving practical results.
