A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
Hi,
I just found an error message "AttributeError: 'GraspEnv' object has no attribute 'sim'" when I ran the command "python3 Grasping_Agent_multidiscrete.py".
Traceback is shown as follows:
Traceback (most recent call last):
File "Grasping_Agent_multidiscrete.py", line 583, in
main()
File "Grasping_Agent_multidiscrete.py", line 521, in main
agent = Grasp_Agent(seed=rand_seed, load_path=None, learning_rate=lr, depth_only=False)
File "Grasping_Agent_multidiscrete.py", line 85, in init
self.env = gym.make(
File "/home/steve/anaconda3/envs/mujoco_py/lib/python3.8/site-packages/gym/envs/registration.py", line 592, in make
env = env_creator(**_kwargs)
File "/home/steve/MuJoCo_RL_UR5/gym_grasper/envs/GraspingEnv.py", line 51, in init
self.controller = MJ_Controller(self.model, self.sim, self.viewer)
AttributeError: 'GraspEnv' object has no attribute 'sim'
Hi, I just found an error message "AttributeError: 'GraspEnv' object has no attribute 'sim'" when I ran the command "python3 Grasping_Agent_multidiscrete.py".
Traceback is shown as follows:
Traceback (most recent call last): File "Grasping_Agent_multidiscrete.py", line 583, in
main()
File "Grasping_Agent_multidiscrete.py", line 521, in main
agent = Grasp_Agent(seed=rand_seed, load_path=None, learning_rate=lr, depth_only=False)
File "Grasping_Agent_multidiscrete.py", line 85, in init
self.env = gym.make(
File "/home/steve/anaconda3/envs/mujoco_py/lib/python3.8/site-packages/gym/envs/registration.py", line 592, in make
env = env_creator(**_kwargs)
File "/home/steve/MuJoCo_RL_UR5/gym_grasper/envs/GraspingEnv.py", line 51, in init
self.controller = MJ_Controller(self.model, self.sim, self.viewer)
AttributeError: 'GraspEnv' object has no attribute 'sim'
Appreciate!