Learning State Values

• Assume perfect state-action model
• Assume fixed policy
• Given a policy and a state, select an action
  • Action should maximize "value"
    • This is how a policy is assessed
  • How do we determine this? The Reward Function!
• Resuming our example
  • Reward for not bumping: 1
  • Reward for bumping: 0