(args, headless=False)
| 38 | import torch |
| 39 | |
| 40 | def train(args, headless=False): |
| 41 | args.headless = headless |
| 42 | # args.resume = True |
| 43 | env, env_cfg = task_registry.make_env(name=args.task, args=args) |
| 44 | ppo_runner, train_cfg = task_registry.make_alg_runner(env=env, name=args.task, args=args) |
| 45 | ppo_runner.learn(num_learning_iterations=train_cfg.runner.max_iterations, init_at_random_ep_len=True) |
| 46 | |
| 47 | if __name__ == '__main__': |
| 48 | args = get_args() |
no test coverage detected