code: def get_discrete_task_agent(generators, market, nStates, nOffer, markups,
          withholds, maxSteps, learner, Pd0=None, Pd_min=0.0):
      
      env = pyreto.discrete.MarketEnvironment(generators, market,
                                              numStates=nStates,
                                              numOffbids=nOffer,
                                              markups=markups,
                                              withholds=withholds,
                                              Pd0=Pd0,
                                              Pd_min=Pd_min)
      task = pyreto.discrete.ProfitTask(env, maxSteps=maxSteps)
  
      nActions = len(env._allActions)
      module = ActionValueTable(numStates=nStates, numActions=nActions)
  
      agent = LearningAgent(module, learner)
  
      return task, agent
docs: Returns a tuple of task and agent for the given learner.