Stanford Seminar - Modeling and Interacting with Other Agents, Claire Tomlin

Explore cutting-edge approaches to modeling and interacting with other agents in autonomous systems through this Stanford seminar featuring Claire Tomlin from UC Berkeley. Delve into the challenges of predicting agent behavior and learn about innovative solutions using dynamic game formulations, reachable sets, and relaxed worst-case assumptions. Discover game-theoretic motion planning techniques employing feedback Nash equilibrium strategies and behavioral models with real-time parameter learning. Witness the application of these concepts through simulations and robotic experiments in multi-vehicle scenarios. Gain valuable insights into the future of autonomous systems design and interaction modeling from a leading expert in the field.