diagram of rule-based policy

dqn_agent.py

For example, say rule_requests = ['moviename', 'starttime', 'city'], length: 3

Round 1:
rule_current_slot_index = 0 (< 3)
           |
[request 'moviename', request 'starttime', request 'city', mach_found, done]

Round 2:
                  rule_current_slot_index = 1 (< 3)
                             |
[request 'moviename', request 'starttime', request 'city', mach_found, done]

Round 3:
                                      rule_current_slot_index = 2 (< 3)
                                                 |
[request 'moviename', request 'starttime', request 'city', mach_found, done]

Round 4:
                                                      rule_phase = 'not done'
                                                                |
[request 'moviename', request 'starttime', request 'city', mach_found, done]


Round 5, final:
                                                              rule_phase = 'done'
                                                                        |
[request 'moviename', request 'starttime', request 'city', mach_found, done]