def __init__(self, tax_rate, welfare, tax_rate_increment,
welfare_increment, starting_welfare_req):
self._state = {'cash': 0}
self.tax_rate = tax_rate
self.tax_rate_increment = tax_rate_increment
self.welfare = welfare
self.welfare_increment = welfare_increment
self.welfare_req = starting_welfare_req
self.subsidies = {
ConsumerGoodFirm: 0,
CapitalEquipmentFirm: 0,
RawMaterialFirm: 0,
Hospital: 0
}
self.altruism = 0
# all states map to the same actions
action_ids = [i for i in range(len(self.actions))]
states_actions = {s: action_ids for s in range(3)}
self.learner = QLearner(states_actions,
self.reward,
discount=0.5,
explore=0.01,
learning_rate=0.5)
# keep track of previous step's quality of life for comparison
self.prev_qol = 0
def __init__(self, labor_cost_per_good, material_cost_per_good,
labor_per_equipment, labor_per_worker, supply_increment,
profit_increment, wage_increment):
self._super(Firm, self).__init__(
state={
'desired_supply': 1,
'desired_equipment': 0,
'worker_change': 0,
'workers': [],
'cash': 50000,
'revenue': 0,
'costs': 0,
'price': 0,
'profit': 0,
'prev_profit': 0,
'leftover': 0,
'supply': 0,
'n_sold': 0,
'profit_margin': 1,
'equipment': 0,
'materials': 0,
})
self.material_cost_per_good = material_cost_per_good
self.labor_cost_per_good = labor_cost_per_good
self.labor_per_equipment = labor_per_equipment
self.labor_per_worker = labor_per_worker
self.supply_increment = supply_increment
self.profit_increment = profit_increment
self.wage_increment = wage_increment
# all states map to the same actions
action_ids = [i for i in range(len(self.actions))]
states_actions = {s: action_ids for s in range(5)}
self.learner = QLearner(states_actions,
self.reward,
discount=0.5,
explore=0.1,
learning_rate=0.8)
def __init__(self, owner):
self.owner = owner
self.owner._state['firm_owner'] = True
self.owner.firm = self
self.desired_supply = 1
# initialize
self.workers = []
self.revenue = 0
self.costs = 0
self.supply = 0
self.n_sold = 0
self.profit_margin = 1
self.equipment = 0
self.materials = 0
# all states map to the same actions
action_ids = [i for i in range(len(self.actions))]
states_actions = {s: action_ids for s in range(5)}
self.learner = QLearner(states_actions,
self.reward,
discount=0.5,
explore=0.01,
learning_rate=0.8)
