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rein q1

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This commit is contained in:
ZhuangYumin
2024-07-08 17:37:53 +08:00
parent 09c85f8942
commit 138a07eef6
5 changed files with 42 additions and 662 deletions
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132
reinforcement/test_cases/q1/1-tinygrid.test_output
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@ -1,132 +0,0 @@
Values at iteration 0 are correct.
Student/correct solution:
values_k_0: """
0.0000
0.0000
0.0000
"""
Q-Values at iteration 0 for action south are correct.
Student/correct solution:
q_values_k_0_action_south: """
illegal
0.0000
illegal
"""
Q-Values at iteration 0 for action west are correct.
Student/correct solution:
q_values_k_0_action_west: """
illegal
0.0000
illegal
"""
Q-Values at iteration 0 for action exit are correct.
Student/correct solution:
q_values_k_0_action_exit: """
-10.0000
illegal
10.0000
"""
Q-Values at iteration 0 for action east are correct.
Student/correct solution:
q_values_k_0_action_east: """
illegal
0.0000
illegal
"""
Q-Values at iteration 0 for action north are correct.
Student/correct solution:
q_values_k_0_action_north: """
illegal
0.0000
illegal
"""
Values at iteration 1 are NOT correct.
Student solution:
values_k_1: """
0.0000
0.0000
0.0000
"""
Correct solution:
values_k_1: """
-10.0000
0.0000
10.0000
"""
Q-Values at iteration 1 for action south are NOT correct.
Student solution:
q_values_k_1_action_south: """
illegal
0.0000
illegal
"""
Correct solution:
q_values_k_1_action_south: """
illegal
5.0000
illegal
"""
Q-Values at iteration 1 for action west are correct.
Student/correct solution:
q_values_k_1_action_west: """
illegal
0.0000
illegal
"""
Q-Values at iteration 1 for action exit are correct.
Student/correct solution:
q_values_k_1_action_exit: """
-10.0000
illegal
10.0000
"""
Q-Values at iteration 1 for action east are correct.
Student/correct solution:
q_values_k_1_action_east: """
illegal
0.0000
illegal
"""
Q-Values at iteration 1 for action north are NOT correct.
Student solution:
q_values_k_1_action_north: """
illegal
0.0000
illegal
"""
Correct solution:
q_values_k_1_action_north: """
illegal
-5.0000
illegal
"""

132
reinforcement/test_cases/q1/2-tinygrid-noisy.test_output
View File

@ -1,132 +0,0 @@
Values at iteration 0 are correct.
Student/correct solution:
values_k_0: """
0.0000
0.0000
0.0000
"""
Q-Values at iteration 0 for action south are correct.
Student/correct solution:
q_values_k_0_action_south: """
illegal
0.0000
illegal
"""
Q-Values at iteration 0 for action west are correct.
Student/correct solution:
q_values_k_0_action_west: """
illegal
0.0000
illegal
"""
Q-Values at iteration 0 for action exit are correct.
Student/correct solution:
q_values_k_0_action_exit: """
-10.0000
illegal
10.0000
"""
Q-Values at iteration 0 for action east are correct.
Student/correct solution:
q_values_k_0_action_east: """
illegal
0.0000
illegal
"""
Q-Values at iteration 0 for action north are correct.
Student/correct solution:
q_values_k_0_action_north: """
illegal
0.0000
illegal
"""
Values at iteration 1 are NOT correct.
Student solution:
values_k_1: """
0.0000
0.0000
0.0000
"""
Correct solution:
values_k_1: """
-10.0000
0.0000
10.0000
"""
Q-Values at iteration 1 for action south are NOT correct.
Student solution:
q_values_k_1_action_south: """
illegal
0.0000
illegal
"""
Correct solution:
q_values_k_1_action_south: """
illegal
5.6250
illegal
"""
Q-Values at iteration 1 for action west are correct.
Student/correct solution:
q_values_k_1_action_west: """
illegal
0.0000
illegal
"""
Q-Values at iteration 1 for action exit are correct.
Student/correct solution:
q_values_k_1_action_exit: """
-10.0000
illegal
10.0000
"""
Q-Values at iteration 1 for action east are correct.
Student/correct solution:
q_values_k_1_action_east: """
illegal
0.0000
illegal
"""
Q-Values at iteration 1 for action north are NOT correct.
Student solution:
q_values_k_1_action_north: """
illegal
0.0000
illegal
"""
Correct solution:
q_values_k_1_action_north: """
illegal
-5.6250
illegal
"""

216
reinforcement/test_cases/q1/3-bridge.test_output
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@ -1,216 +0,0 @@
Values at iteration 0 are correct.
Student/correct solution:
values_k_0: """
__________ 0.0000 __________
0.0000 0.0000 0.0000
0.0000 0.0000 0.0000
0.0000 0.0000 0.0000
0.0000 0.0000 0.0000
0.0000 0.0000 0.0000
__________ 0.0000 __________
"""
Q-Values at iteration 0 for action south are correct.
Student/correct solution:
q_values_k_0_action_south: """
__________ illegal __________
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
__________ illegal __________
"""
Q-Values at iteration 0 for action west are correct.
Student/correct solution:
q_values_k_0_action_west: """
__________ illegal __________
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
__________ illegal __________
"""
Q-Values at iteration 0 for action exit are correct.
Student/correct solution:
q_values_k_0_action_exit: """
__________ 10.0000 __________
-100.0000 illegal -100.0000
-100.0000 illegal -100.0000
-100.0000 illegal -100.0000
-100.0000 illegal -100.0000
-100.0000 illegal -100.0000
__________ 1.0000 __________
"""
Q-Values at iteration 0 for action east are correct.
Student/correct solution:
q_values_k_0_action_east: """
__________ illegal __________
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
__________ illegal __________
"""
Q-Values at iteration 0 for action north are correct.
Student/correct solution:
q_values_k_0_action_north: """
__________ illegal __________
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
__________ illegal __________
"""
Values at iteration 1 are NOT correct.
Student solution:
values_k_1: """
__________ 0.0000 __________
0.0000 0.0000 0.0000
0.0000 0.0000 0.0000
0.0000 0.0000 0.0000
0.0000 0.0000 0.0000
0.0000 0.0000 0.0000
__________ 0.0000 __________
"""
Correct solution:
values_k_1: """
__________ 10.0000 __________
-100.0000 0.0000 -100.0000
-100.0000 0.0000 -100.0000
-100.0000 0.0000 -100.0000
-100.0000 0.0000 -100.0000
-100.0000 0.0000 -100.0000
__________ 1.0000 __________
"""
Q-Values at iteration 1 for action south are NOT correct.
Student solution:
q_values_k_1_action_south: """
__________ illegal __________
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
__________ illegal __________
"""
Correct solution:
q_values_k_1_action_south: """
__________ illegal __________
illegal -8.5000 illegal
illegal -8.5000 illegal
illegal -8.5000 illegal
illegal -8.5000 illegal
illegal -7.7350 illegal
__________ illegal __________
"""
Q-Values at iteration 1 for action west are NOT correct.
Student solution:
q_values_k_1_action_west: """
__________ illegal __________
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
__________ illegal __________
"""
Correct solution:
q_values_k_1_action_west: """
__________ illegal __________
illegal -76.0750 illegal
illegal -76.5000 illegal
illegal -76.5000 illegal
illegal -76.5000 illegal
illegal -76.4575 illegal
__________ illegal __________
"""
Q-Values at iteration 1 for action exit are correct.
Student/correct solution:
q_values_k_1_action_exit: """
__________ 10.0000 __________
-100.0000 illegal -100.0000
-100.0000 illegal -100.0000
-100.0000 illegal -100.0000
-100.0000 illegal -100.0000
-100.0000 illegal -100.0000
__________ 1.0000 __________
"""
Q-Values at iteration 1 for action east are NOT correct.
Student solution:
q_values_k_1_action_east: """
__________ illegal __________
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
__________ illegal __________
"""
Correct solution:
q_values_k_1_action_east: """
__________ illegal __________
illegal -76.0750 illegal
illegal -76.5000 illegal
illegal -76.5000 illegal
illegal -76.5000 illegal
illegal -76.4575 illegal
__________ illegal __________
"""
Q-Values at iteration 1 for action north are NOT correct.
Student solution:
q_values_k_1_action_north: """
__________ illegal __________
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
illegal 0.0000 illegal
__________ illegal __________
"""
Correct solution:
q_values_k_1_action_north: """
__________ illegal __________
illegal -0.8500 illegal
illegal -8.5000 illegal
illegal -8.5000 illegal
illegal -8.5000 illegal
illegal -8.5000 illegal
__________ illegal __________
"""

182
reinforcement/test_cases/q1/4-discountgrid.test_output
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@ -1,182 +0,0 @@
Values at iteration 0 are correct.
Student/correct solution:
values_k_0: """
0.0000 0.0000 0.0000 0.0000 0.0000
0.0000 0.0000 __________ 0.0000 0.0000
0.0000 0.0000 0.0000 0.0000 0.0000
0.0000 0.0000 __________ __________ 0.0000
0.0000 0.0000 0.0000 0.0000 0.0000
"""
Q-Values at iteration 0 for action south are correct.
Student/correct solution:
q_values_k_0_action_south: """
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Q-Values at iteration 0 for action west are correct.
Student/correct solution:
q_values_k_0_action_west: """
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Q-Values at iteration 0 for action exit are correct.
Student/correct solution:
q_values_k_0_action_exit: """
-10.0000 illegal 10.0000 illegal illegal
-10.0000 illegal __________ illegal illegal
-10.0000 illegal 1.0000 illegal illegal
-10.0000 illegal __________ __________ illegal
-10.0000 illegal illegal illegal illegal
"""
Q-Values at iteration 0 for action east are correct.
Student/correct solution:
q_values_k_0_action_east: """
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Q-Values at iteration 0 for action north are correct.
Student/correct solution:
q_values_k_0_action_north: """
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Values at iteration 1 are NOT correct.
Student solution:
values_k_1: """
0.0000 0.0000 0.0000 0.0000 0.0000
0.0000 0.0000 __________ 0.0000 0.0000
0.0000 0.0000 0.0000 0.0000 0.0000
0.0000 0.0000 __________ __________ 0.0000
0.0000 0.0000 0.0000 0.0000 0.0000
"""
Correct solution:
values_k_1: """
-10.0000 0.0000 10.0000 0.0000 0.0000
-10.0000 0.0000 __________ 0.0000 0.0000
-10.0000 0.0000 1.0000 0.0000 0.0000
-10.0000 0.0000 __________ __________ 0.0000
-10.0000 0.0000 0.0000 0.0000 0.0000
"""
Q-Values at iteration 1 for action south are NOT correct.
Student solution:
q_values_k_1_action_south: """
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Correct solution:
q_values_k_1_action_south: """
illegal 0.0000 illegal 0.9000 0.0000
illegal -0.9000 __________ 0.0000 0.0000
illegal -0.8100 illegal 0.0900 0.0000
illegal -0.9000 __________ __________ 0.0000
illegal -0.9000 0.0000 0.0000 0.0000
"""
Q-Values at iteration 1 for action west are NOT correct.
Student solution:
q_values_k_1_action_west: """
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Correct solution:
q_values_k_1_action_west: """
illegal -7.2000 illegal 7.2000 0.0000
illegal -7.2000 __________ 0.0000 0.0000
illegal -7.2000 illegal 0.7200 0.0000
illegal -7.2000 __________ __________ 0.0000
illegal -7.2000 0.0000 0.0000 0.0000
"""
Q-Values at iteration 1 for action exit are correct.
Student/correct solution:
q_values_k_1_action_exit: """
-10.0000 illegal 10.0000 illegal illegal
-10.0000 illegal __________ illegal illegal
-10.0000 illegal 1.0000 illegal illegal
-10.0000 illegal __________ __________ illegal
-10.0000 illegal illegal illegal illegal
"""
Q-Values at iteration 1 for action east are NOT correct.
Student solution:
q_values_k_1_action_east: """
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Correct solution:
q_values_k_1_action_east: """
illegal 7.2000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.7200 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Q-Values at iteration 1 for action north are NOT correct.
Student solution:
q_values_k_1_action_north: """
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ 0.0000 0.0000
illegal 0.0000 illegal 0.0000 0.0000
illegal 0.0000 __________ __________ 0.0000
illegal 0.0000 0.0000 0.0000 0.0000
"""
Correct solution:
q_values_k_1_action_north: """
illegal 0.0000 illegal 0.9000 0.0000
illegal -0.9000 __________ 0.0000 0.0000
illegal -0.8100 illegal 0.0900 0.0000
illegal -0.9000 __________ __________ 0.0000
illegal -0.9000 0.0000 0.0000 0.0000
"""

42
reinforcement/valueIterationAgents.py
View File

@ -65,6 +65,35 @@ class ValueIterationAgent(ValueEstimationAgent):
value iteration, V_k+1(...) depends on V_k(...)'s.
"""
"*** YOUR CODE HERE ***"
# Write value iteration code here
# Hints:
# - After each iteration, store the new values in self.values
# - When updating a value, use self.values[state] = <new value>
# - You will need to copy the state values into a separate dictionary
# to avoid changing values before computing the update.
# - The difference between the new value and the old value (|V_k+1(s) - V_k(s)|)
# should be less than self.epsilon for all states s
# - Make sure to use the discount factor self.discount
# - Make sure to use the bellman equations to update the state values
# - The number of iterations is given by self.iterations
# - You may use the util.Counter() class
# - You may also use the self.mdp.getTransitionStatesAndProbs(state, action) method
# - You may also use the self.mdp.getReward(state, action, nextState) method
# - You may also use the self.mdp.getPossibleActions(state) method
# - You may also use the self.mdp.isTerminal(state) method
for i in range(self.iterations):
newValues = util.Counter()
for state in self.mdp.getStates():
if self.mdp.isTerminal(state):
newValues[state] = 0
else:
maxQValue = float("-inf")
for action in self.mdp.getPossibleActions(state):
qValue = self.computeQValueFromValues(state, action)
maxQValue = max(maxQValue, qValue)
newValues[state] = maxQValue
self.values = newValues
def getValue(self, state):
@ -79,6 +108,11 @@ class ValueIterationAgent(ValueEstimationAgent):
value function stored in self.values.
"""
"*** YOUR CODE HERE ***"
qValue = 0
for nextState, prob in self.mdp.getTransitionStatesAndProbs(state, action):
reward = self.mdp.getReward(state, action, nextState)
qValue += prob * (reward + self.discount * self.values[nextState])
return qValue
def computeActionFromValues(self, state):
@ -91,6 +125,14 @@ class ValueIterationAgent(ValueEstimationAgent):
terminal state, you should return None.
"""
"*** YOUR CODE HERE ***"
bestAction = None
bestQValue = float("-inf")
for action in self.mdp.getPossibleActions(state):
qValue = self.computeQValueFromValues(state, action)
if qValue > bestQValue:
bestQValue = qValue
bestAction = action
return bestAction
def getPolicy(self, state):