ValueError: too many values to unpack (expected 2)

[Chu4nQ1n]

开发人员您好，

我在执行教程中RL控制例程时遇到以下报错

`
/home/chuan/anaconda3/envs/rl-go2/lib/python3.8/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]

Traceback (most recent call last):
File "train.py", line 20, in
train(args)

File "train.py", line 14, in train
ppo_runner, train_cfg = task_registry.make_alg_runner(env=env, name=args.task, args=args)

File "/home/chuan/rsl_rl/unitree_rl_gym/legged_gym/utils/task_registry.py", line 119, in make_alg_runner
runner = OnPolicyRunner(env, train_cfg_dict, log_dir, device=args.rl_device)

File "/home/chuan/rsl_rl/rsl_rl/runners/on_policy_runner.py", line 29, in init
obs, extras = self.env.get_observations()

ValueError: too many values to unpack (expected 2)
`

导致了gym界面闪退，在按照其他博主经验修改pytoch源代码后错误仍然存在。

针对此问题希望能够得到您的帮助，谢谢。

[Chu4nQ1n]

重新安装 rsl_rl v1.0.2 后解决问题。