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)