Contents:

Theory:

  • Introduction & supervised learning

  • Reinforcement learning

  • Meta learning

Application:

  • Hindsight experience replay

  • Sim2Real with meta learning

  • Learning a hierarchy of actions with meta-learning

  • Limitation of high capacity meta-learning

  • Self-play

  • Can we train AGI using the self-play?

  • Learning from human feedback