def define_jobs_context(self, context):
boot_root = self.get_boot_root()
data_central = self.get_data_central()
GlobalConfig.global_load_dir('default')
recipe_agentlearn_by_parallel_concurrent_reps(context, data_central,
Exp32.explogs_learn, n=8, max_reps=10)
for id_robot in Exp32.robots:
recipe_episodeready_by_convert2(context, boot_root, id_robot)
jobs_publish_learning_agents_robots(context, boot_root,
Exp32.agents, Exp32.robots)
def define_jobs_context(self, context):
boot_root = self.get_boot_root()
data_central = self.get_data_central()
GlobalConfig.global_load_dir("default")
recipe_agentlearn_by_parallel_concurrent_reps(
context, data_central, Exp27.explogs_learn, n=8, max_reps=20, only_agents=["exp23_diffeof"]
)
recipe_agentlearn_by_parallel(context, data_central, Exp27.explogs_learn, only_agents=["stats2", "cmdstats"])
for id_robot in Exp27.robots:
recipe_episodeready_by_convert2(context, boot_root, id_robot)
jobs_publish_learning_agents_robots(context, boot_root, Exp27.agents, Exp27.robots)
