def define_jobs_context(self, context):
GlobalConfig.global_load_dir(Exp40.config_dir)
robots = Exp40.robots
agents = Exp40.agents
explorer = Exp40.explorer
num_episodes = 2
max_episode_len = 5
data_central = self.get_data_central()
boot_root = data_central.get_boot_root()
episodes = [episode_id_exploration(explorer, i) for i in range(num_episodes)]
for id_robot in robots:
recipe_episodeready_by_simulation(context, data_central, id_robot,
explorer, max_episode_len)
recipe_agentlearn_by_parallel(context, data_central, episodes)
jobs_publish_learning_agents_robots(context, boot_root, agents, robots)
output_dir = os.path.join(context.get_output_dir(), 'tex')
for c, id_agent, id_robot in iterate_context_names_pair(context, agents, robots):
job_tex_report(c, output_dir, id_agent=id_agent, id_robot=id_robot)
def jobs_tex(context, combinations):
output_dir = os.path.join(context.get_output_dir(), 'tex')
for c, id_robot, id_agent in iterate_context_combinations(context, combinations):
job_tex_report(c, output_dir, id_agent=id_agent, id_robot=id_robot)
