Make the board prettier, provide some additional stats
This commit is contained in:
Nicolai Czempin
parent
542dc1bbe9
commit
4f0958a97f
@ -1,62 +0,0 @@
|
||||
import gym
|
||||
import numpy as np
|
||||
import gym_tic_tac_toe
|
||||
import random
|
||||
|
||||
|
||||
def random_plus_middle_move(moves, p):
|
||||
if ([p, 4] in moves):
|
||||
m = [p, 4]
|
||||
else:
|
||||
m = random_move(moves, p)
|
||||
return m
|
||||
def random_move(moves, p):
|
||||
m = random.choice(moves)
|
||||
return m
|
||||
|
||||
env = gym.make('tic_tac_toe-v0')
|
||||
|
||||
num_episodes = 2000
|
||||
num_steps_per_episode = 10
|
||||
|
||||
collected_rewards = []
|
||||
for i in range(num_episodes):
|
||||
s = env.reset()
|
||||
print (s)
|
||||
print ("starting new episode")
|
||||
env.render()
|
||||
print ("started")
|
||||
total_reward = 0
|
||||
done = False
|
||||
om = 1
|
||||
for j in range(num_steps_per_episode):
|
||||
moves = env.move_generator()
|
||||
print ("moves: ", moves)
|
||||
if (not moves):
|
||||
print ("out of moves")
|
||||
break
|
||||
if (len(moves)==1):
|
||||
m = moves[0]
|
||||
else:
|
||||
if (om == 1):
|
||||
m = random_plus_middle_move(moves, om)
|
||||
else:
|
||||
m = random_move(moves, om)
|
||||
print ("m: ", m)
|
||||
# a = env.action_space.sample()
|
||||
# print (a[0])
|
||||
# #sm = s['on_move']
|
||||
# #print (sm)
|
||||
# a = tuple((om, a[1]))
|
||||
s1, reward, done, _ = env.step(m)
|
||||
om = -om
|
||||
env.render()
|
||||
total_reward += reward
|
||||
s = s1
|
||||
if done:
|
||||
print ("game over: ", reward)
|
||||
break
|
||||
collected_rewards.append(total_reward)
|
||||
print ("total reward ", total_reward, " after episode: ", i, ". steps: ", j+1)
|
||||
print ("average score: ", sum(collected_rewards) / num_episodes)
|
||||
print("#########")
|
||||
@ -1,6 +1,6 @@
|
||||
from gym.envs.registration import register
|
||||
|
||||
register(
|
||||
id='tic_tac_toe-v0',
|
||||
id='tic_tac_toe-v1',
|
||||
entry_point='gym_tic_tac_toe.envs:TicTacToeEnv',
|
||||
)
|
||||
|
||||
@ -5,16 +5,17 @@ import numpy as np
|
||||
class TicTacToeEnv(gym.Env):
|
||||
metadata = {'render.modes': ['human']}
|
||||
|
||||
symbols = ['O', ' ', 'X'];
|
||||
|
||||
def __init__(self):
|
||||
self.action_space = spaces.Discrete(9)
|
||||
self.observation_space = spaces.Discrete(512*512*2) # flattened
|
||||
self.observation_space = spaces.Discrete(9*3*2) # flattened
|
||||
def step(self, action):
|
||||
done = False
|
||||
reward = 0
|
||||
|
||||
p, square = action
|
||||
|
||||
# p = p*2 - 1
|
||||
# check move legality
|
||||
board = self.state['board']
|
||||
proposed = board[square]
|
||||
@ -54,14 +55,14 @@ class TicTacToeEnv(gym.Env):
|
||||
def render(self, mode='human', close=False):
|
||||
if close:
|
||||
return
|
||||
print("on move: " , self.state['on_move'])
|
||||
print("on move: " , self.symbols[self.state['on_move']+1])
|
||||
for i in range (9):
|
||||
print (self.state['board'][i], end=" ")
|
||||
print()
|
||||
print (self.symbols[self.state['board'][i]+1], end=" ");
|
||||
if ((i % 3) == 2):
|
||||
print();
|
||||
def move_generator(self):
|
||||
moves = []
|
||||
for i in range (9):
|
||||
|
||||
if (self.state['board'][i] == 0):
|
||||
p = self.state['on_move']
|
||||
m = [p, i]
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
import gym
|
||||
import numpy as np
|
||||
import gym_tic_tac_toe
|
||||
#import numpy as np
|
||||
import gym_tic_tac_toe #noqa
|
||||
import random
|
||||
|
||||
|
||||
@ -14,49 +14,59 @@ def random_move(moves, p):
|
||||
m = random.choice(moves)
|
||||
return m
|
||||
|
||||
env = gym.make('tic_tac_toe-v0')
|
||||
|
||||
env = gym.make('tic_tac_toe-v1')
|
||||
|
||||
num_episodes = 2000
|
||||
num_steps_per_episode = 10
|
||||
|
||||
collected_rewards = []
|
||||
oom =1
|
||||
for i in range(num_episodes):
|
||||
s = env.reset()
|
||||
print (s)
|
||||
print ("starting new episode")
|
||||
env.render()
|
||||
print ("started")
|
||||
#print (s)
|
||||
#print ("starting new episode")
|
||||
#env.render()
|
||||
#print ("started")
|
||||
total_reward = 0
|
||||
done = False
|
||||
om = 1
|
||||
om = oom;
|
||||
#run one episode
|
||||
#print("starting player: ", om);
|
||||
|
||||
for j in range(num_steps_per_episode):
|
||||
moves = env.move_generator()
|
||||
print ("moves: ", moves)
|
||||
#print ("moves: ", moves)
|
||||
if (not moves):
|
||||
print ("out of moves")
|
||||
#print ("out of moves")
|
||||
break
|
||||
if (len(moves)==1):
|
||||
#only a single possible move
|
||||
m = moves[0]
|
||||
else:
|
||||
if (om == 1):
|
||||
m = random_plus_middle_move(moves, om)
|
||||
#m = random_move(moves, om)
|
||||
else:
|
||||
m = random_move(moves, om)
|
||||
print ("m: ", m)
|
||||
# a = env.action_space.sample()
|
||||
# print (a[0])
|
||||
# #sm = s['on_move']
|
||||
# #print (sm)
|
||||
# a = tuple((om, a[1]))
|
||||
#print ("m: ", m)
|
||||
s1, reward, done, _ = env.step(m)
|
||||
om = -om
|
||||
env.render()
|
||||
#env.render()
|
||||
total_reward += reward
|
||||
s = s1
|
||||
if done:
|
||||
print ("game over: ", reward)
|
||||
#print ("game over: ", reward)
|
||||
break
|
||||
env.render()
|
||||
total_reward *= oom;
|
||||
collected_rewards.append(total_reward)
|
||||
print ("total reward ", total_reward, " after episode: ", i, ". steps: ", j+1)
|
||||
print ("average score: ", sum(collected_rewards) / num_episodes)
|
||||
#print ("total reward", total_reward, "after episode: ", i+1, ". steps: ", j+1)
|
||||
oom = -oom
|
||||
|
||||
print ("after "+ str(i+1) + " episodes:");
|
||||
|
||||
average = sum(collected_rewards) / num_episodes;
|
||||
print ("average score: ", average);
|
||||
print("percentage: ", round(100*(average+1)/2,1));
|
||||
print("#########")
|
||||
|
||||
Loading…
Reference in New Issue
Block a user