The session aims to delve into the integration of reinforcement learning techniques within robotics, specifically focusing on enhancing agility and efficiency in robotic movement. Attendees will gain insights into the theoretical underpinnings of reinforcement learning and its practical applications within the realm of robotics. Through a discussion of real-world examples and case studies, the session aims to elucidate strategies for optimizing robotic behaviors, ultimately empowering participants to apply these principles in their own projects and endeavors. By the end of the session, attendees will have a deeper understanding of how reinforcement learning can revolutionize the field of robotics, leading to more agile and efficient robotic systems.