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.
python3 Grasping_Agent_multidiscrete.py
Creating window glfw
Created new control group 'Arm'.
Created new control group 'Gripper'.
CURRENT EPSILON: 1.0
#################################################################
EPISODE 1 STEP 1
#################################################################
Traceback (most recent call last):
File "Grasping_Agent_multidiscrete.py", line 583, in
main()
File "Grasping_Agent_multidiscrete.py", line 545, in main
nextstate, reward, done, = agent.env.step(
TypeError: step() got an unexpected keyword argument 'action_info'
Hi all, i have two errors, when i used codes. How can i solve them. Thx for informations.
python3 example_agent.py . . . EPISODE 1 STEP 1 ################################################################# Traceback (most recent call last): File "exampleagent.py", line 27, in
observation, reward, done, = env.step(action, record_grasps=True)
TypeError: step() got an unexpected keyword argument 'record_grasps'
Then i tried grasping agent code and ..
python3 Grasping_Agent_multidiscrete.py Creating window glfw Created new control group 'Arm'. Created new control group 'Gripper'. CURRENT EPSILON: 1.0 ################################################################# EPISODE 1 STEP 1 ################################################################# Traceback (most recent call last): File "Grasping_Agent_multidiscrete.py", line 583, in
main()
File "Grasping_Agent_multidiscrete.py", line 545, in main
nextstate, reward, done, = agent.env.step(
TypeError: step() got an unexpected keyword argument 'action_info'