def jobs_servo(context, data_central, combinations, explogs_test):
recipe_agent_servo(context, create_report=True)
for c, id_robot, id_agent in iterate_context_combinations(context, combinations):
for cc, e in iterate_context_names(c, explogs_test):
jobs_servo_field(cc, data_central=data_central,
id_robot=id_robot,
id_agent=id_agent,
id_episode=e.id_episode,
**e.params)
def jobs_learn_parallel(context, data_central, explogs_learn, agents, robots,
episodes_per_tranche=50):
""" Learn parallel """
boot_root = data_central.get_boot_root()
recipe_agentlearn_by_parallel(context, data_central, explogs_learn,
episodes_per_tranche=episodes_per_tranche)
recipe_agent_servo(context, create_report=True)
for id_robot in robots:
recipe_episodeready_by_convert2(context, boot_root, id_robot)
jobs_publish_learning_agents_robots(context, boot_root, agents, robots)