The Problem
• Set of sensors à set of environment states
– All states fit in memory
• Set of actions à transition from state to state,
immediate reward
• Set of terminal (absorbing) states
• Wish to learn optimal policy
– mapping of states to actions which maximizes expected
reward (utility) over time
• Often called a "sequential decision problem"