def main():
env = PlayBoard(tot_row=5, tot_col=5, tot_trap=3)
tot_epoch = 100
for epoch in range(tot_epoch):
#Reset and return the first observation
observation_eye, observation_object, observation_grasping = env.reset(exploring_starts=True)
action_list = ['UP', 'RIGHT', 'DOWN', 'LEFT', 'GRASP', 'RELEASE']
object_list = ['EMPTY', 'TRAP', 'CUP', 'BALL']
reward = 0
done = False
for step in range(1000):
action = np.random.randint(6)
print("Reward: " + str(reward))
print("Eye: " + str(observation_eye))
print("Object: " + str(object_list[observation_object]))
print("Grasping: " + str(observation_grasping))
print("Action: " + action_list[action])
print("")
env.render()
#Move one step in the environment and get obs and reward
observation_eye, observation_object, observation_grasping, reward, done = env.step(action)
if done: break
