No seed method error.

[cwk20]

Slippery Walk Five MDP and sample policy in Chapter 3 of Jupyter notebook.

Why am I getting this error and how do I fix this?

env = gym.make('SlipperyWalkFive-v0')
P = env.env.P
init_state = env.reset()
goal_state = 6

LEFT, RIGHT = range(2)
pi = lambda s: {
0:LEFT, 1:LEFT, 2:LEFT, 3:LEFT, 4:LEFT, 5:LEFT, 6:LEFT
}[s]
print_policy(pi, P, action_symbols=('<', '>'), n_cols=7)
print('Reaches goal {:.2f}%. Obtains an average undiscounted return of {:.4f}.'.format(
probability_success(env, pi, goal_state=goal_state)*100,
mean_return(env, pi)))

AttributeError Traceback (most recent call last)
C:\Temp\ipykernel_11836\386057658.py in <cell line: 11>()
10 print_policy(pi, P, action_symbols=('<', '>'), n_cols=7)
11 print('Reaches goal {:.2f}%. Obtains an average undiscounted return of {:.4f}.'.format(
---> 12 probability_success(env, pi, goal_state=goal_state)*100,
13 mean_return(env, pi)))

C:\Temp\ipykernel_11836\4014631173.py in probability_success(env, pi, goal_state, n_episodes, max_steps)
1 def probability_success(env, pi, goal_state, n_episodes=100, max_steps=200):
----> 2 random.seed(123); np.random.seed(123) ; env.seed(123)
3 results = []
4 for _ in range(n_episodes):
5 state, done, steps = env.reset(), False, 0

~\anaconda3\lib\site-packages\gym\core.py in getattr(self, name)
239 if name.startswith("_"):
240 raise AttributeError(f"accessing private attribute '{name}' is prohibited")
--> 241 return getattr(self.env, name)
242
243 @Property

~\anaconda3\lib\site-packages\gym\core.py in getattr(self, name)
239 if name.startswith("_"):
240 raise AttributeError(f"accessing private attribute '{name}' is prohibited")
--> 241 return getattr(self.env, name)
242
243 @Property

~\anaconda3\lib\site-packages\gym\core.py in getattr(self, name)
239 if name.startswith("_"):
240 raise AttributeError(f"accessing private attribute '{name}' is prohibited")
--> 241 return getattr(self.env, name)
242
243 @Property

AttributeError: 'WalkEnv' object has no attribute 'seed'

[cwk20]

I think this is the same issue as #32.