如何解决PPO 算法异常
我正在尝试在 OpenAI Gym 中使用类似于 HandReach-v0 的环境。但是，当我从稳定基线 3 运行 PPO 算法时，出现以下错误：
当我调用 model.learn(total_timesteps = 25000) 时，错误线程开始
File "/home/yb1025/.conda/envs/allegro_gym/lib/python3.6/site-packages/stable_baselines3/common/on_policy_algorithm.py",line 158,in collect_rollouts
obs_tensor = th.as_tensor(self._last_obs).to(self.device)
RuntimeError: Could not infer dtype of collections.OrderedDict
当我跑步时：
print(env.observation_space.sample())
我明白了：
OrderedDict([('achieved_goal',array([ 0.4008276,-0.0685866,-0.22774519,0.05827878,0.47759697,0.7327185,2.4765387,-0.8607227,0.89627784,-0.3062557,-0.60894597,-1.4110374 ],dtype=float32)),('desired_goal',array([-1.005679,0.34147817,0.9540531,1.1987132,0.37403303,0.32209057,0.31095287,-2.1119647,0.82215786,-0.6675792,-1.5640837,0.7348459 ],('observation',array([-0.39490733,-0.67843455,-0.43765455,0.1409685,-0.67161006,1.3106273,0.04009145,-1.714885,-1.7085567,-0.44895488,-0.6111999,-1.9730839,0.93647414,0.2714189,-0.67204314,0.8948596,-0.14034131,1.0312599,-1.2369561,-0.2345652,-0.17095046,0.36576194,0.9939435,-1.0381949,-1.2953175,1.4120669,-0.23294891,0.30627772,-1.2250876,-0.35871807,1.3074456,-1.060916,-2.451866,0.18679707,0.609564,-0.16821782,-0.8448521,-1.0025802,0.6878543,-2.1562986,0.6426088,1.386251,1.0454125,-2.2426984 ],dtype=float32))])
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