def run_agents():
# definition of the first environment
dimension1 = (10, 10)
location1 = (10, 1)
direction1 = Direction.TOP
environment1 = Environment('Environment 1 (Without Walls)', dimension1,
location1, direction1)
environment1.reset()
# definition of the second environment
dimension2 = (11, 11)
location2 = (11, 1)
direction2 = Direction.TOP
environment2 = Environment('Environment 2 (With Walls)', dimension2,
location2, direction2)
centroid = (6, 6)
for ind in range(13):
environment2.add_wall((ind, centroid[1]))
environment2.add_wall((centroid[0], ind))
doors = [(6, 1), (1, 6), (11, 6), (6, 11)]
for door in doors:
environment2.add_door(door)
environment2.reset()
# simple reflex agent
# print("\n\n\nRunning simple-reflex-agent")
# print("=================================")
# simple_reflex_agent_iterations = 80
# run_simple_reflex_agent(environment1, simple_reflex_agent_iterations)
# run_simple_reflex_agent(environment2, simple_reflex_agent_iterations)
# plt.xticks([action for action in range(0, simple_reflex_agent_iterations+1, 10)])
# plt.yticks([count for count in range(0, 41, 5)])
# plt.xlabel('Number of actions taken')
# plt.ylabel('Number of cleaned cells')
# plt.legend()
# plt.title('Simple Reflex Agent')
# plt.savefig('outputs/simple_reflex_agent.png')
# plt.gcf().clear()
# randomized reflex agent
print("\n\n\nRunning randomized-reflex-agent")
print("=====================================")
randomized_reflex_agent_epochs = 50
randomized_reflex_agent_iterations = 6000
run_randomized_reflex_agent(environment1, randomized_reflex_agent_epochs,
randomized_reflex_agent_iterations)
# run_randomized_reflex_agent(environment2, randomized_reflex_agent_epochs, randomized_reflex_agent_iterations)
plt.xticks(
[epoch for epoch in range(0, randomized_reflex_agent_epochs + 1, 5)])
plt.yticks([
count
for count in range(2000, randomized_reflex_agent_iterations + 1, 1000)
])
plt.xlabel('Number of epochs')
plt.ylabel('Average number of actions for 100% performance')
plt.legend()
plt.title('Randomized Reflex Agent')
plt.savefig('outputs/randomized_reflex_agent.png')
plt.gcf().clear()
def run_with_second_environment():
dimension = (11, 11)
location = (11, 1)
direction = Direction.TOP
environment = Environment(dimension, location, direction)
centroid = (6, 6)
for ind in range(13):
environment.add_wall((ind, centroid[1]))
environment.add_wall((centroid[0], ind))
doors = [(6, 1), (1, 6), (11, 6), (6, 11)]
for door in doors:
environment.add_door(door)
environment.reset()
# run simple-reflex-agent
run_simple_reflex_agent(environment)
# run randomized-reflex-agent
run_randomized_reflex_agent(environment)
# run states-reflex-agent
run_model_reflex_agent(environment)
