Reinforcement Learning

RL:

• figure out what leads to good result / bad result
• do something to get the good result

Adaptive Dynamic Programming:

• Learn the model (transition & reward function): supervised learning
• policy evaluation TD’s advantage over ADP:
  no need for simulator?