15. Imitation Learning and Inverse RL

15. Imitation Learning and Inverse RL

• 15.1. Supervised Imitation Learning
• 15.2. DAgger
  • 15.2. Understanding DAgger
  • 15.3. Algorithm - DAgger
• 15.3. Deep Q learning from Demonstrations
  • 15.3.1. Phases of DQfD
  • 15.3.2. Loss Function of DQfD
  • 15.3.3. Algorithm - DQfD
• 15.4. Inverse Reinforcement Learning
• 15.5. Maximum Entropy IRL
  • 15.5.1. Key Terms
  • 15.5.2. Back to Max entropy IRL
  • 15.5.3. Computing the Gradient
  • 15.5.4. Algorithm - Maximum Entropy IRL
• 15.6. Generative Adversarial Imitation Learning
  • 15.6.1. Formulation of GAIL