Practical Reinforcement Learning with Robots

Explore practical reinforcement learning applications in robotics through this comprehensive talk by Laura Graesser, Senior Research Scientist at Google DeepMind. Delve into environment design for both simulated and real-world scenarios, and gain valuable insights on implementing reinforcement learning in robotic systems. Learn about the challenges and solutions in bridging the gap between simulation and reality, with a focus on real-world applications such as teaching robots to play table tennis. Discover key concepts in robotics, multi-agent systems, sim-to-real transfer, and evolutionary strategies from an expert with extensive experience in the field. Benefit from Graesser's practical knowledge, drawn from her work at Google and Google DeepMind, as well as her co-authorship of a textbook on deep reinforcement learning foundations.