Scheduled presentations:

• Conditional Generative Models for Robot Control: new insights and perspectives
  F. Califano*, N. Botteghi
• Co-design Optimization of Adaptive Structures using Deep Reinforcement Learning
  A. Buda*, D. Grover, S. Armanini, U. Fasel
• Real-Time Optimal Control of Parametrized Systems by Deep Learning-Based Reduced Order Models
  M. Tomasetto*, F. Braghin, A. Manzoni
• HydroGym: A Modern Reinforcement Learning Platform for Flow Control
  L. Paehler*, J. Callaham, S. Ahnert, N. Adams, S. Brunton
• Approximated Bayesian Reinforcement Learning
  V. Arnaoutis*, B. Rosic
• Matryoshka policy gradient for control problems
  M. Han Veiga*, F. Ged