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thegame_DQN_Longrun.py
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import sys
import time
import pygame
import twozerofoureight as tzfe
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import tensorforce
#from tensorforce.config import Configuration
from tensorforce.agents import DQNAgent
from tensorforce.core.networks import LayeredNetwork as RFN
#from tensorforce.core.networks import from_json
# Some kinda gray
kinda_gray = (150,150,150)
# Kinda orange
kinda_orange = dict()
kinda_orange[0] = (238, 228, 218, 0.35)
kinda_orange[2] = (238, 228, 218)
kinda_orange[4] = (237, 224, 200)
kinda_orange[8] = (242, 177, 121)
kinda_orange[16] = (245, 149, 99)
kinda_orange[32] = (246, 124, 95)
kinda_orange[64] = (246, 94, 59)
kinda_orange[128] = (237, 207, 114)
kinda_orange[256] = (237, 204, 97)
kinda_orange[512] = (237, 200, 80)
kinda_orange[1024] = (237, 197, 63)
kinda_orange[2048] = (237, 194, 46)
#QA_CNN = [{"type": "conv2d", "size": 64,"window": 2,"stride": 1},{"type": "conv2d","size": 128,"window": 2,"stride": 1},{"type": "flatten"},{"type": "dense","size": 128}]
QA_CNN = []
C1 = dict()
C1['type'] = 'conv2d'
C1['size'] = 256
C1['window'] = 2
C1['stride'] = 1
QA_CNN.append(C1)
C2 = dict()
C2['type'] = 'conv2d'
C2['size'] = 256
C2['window'] = 2
C2['stride'] = 1
QA_CNN.append(C2)
C3 = dict()
C3['type'] = 'conv2d'
C3['size'] = 512
C3['window'] = 2
C1['stride'] = 1
QA_CNN.append(C3)
F = dict()
F['type'] = 'flatten'
QA_CNN.append(F)
D1 = dict()
D1['type'] = 'dense'
D1['size'] = 256
QA_CNN.append(D1)
# Blinding_white
blinding_white = (255, 255, 255)
# Blacky black
blacky_black = (0, 0, 0)
# Chocolate_brown
chocolate_brown = (119, 110, 101)
# Booooo Red
booooo_red = (200, 25, 25)
##WZ
num_episodes = 25000
artificial_delay = 0
reward_history = []
if __name__ == "__main__":
# Parse the grid dimension from the command line
# And use that to create a game window to
# house that size of the grid. Here we assume 4
grid_size = 4
# # Initialize pygame
# pygame.init()
# # If we paint a rectangle cell of size 64 pixels
# # Also include a header height to display score
# header_height = 48
# tile_size = 96
# width, height = tile_size * grid_size, tile_size * grid_size + header_height
# # Create a screen
# screen = pygame.display.set_mode((width, height))
# screen_rect = screen.get_rect()
# # Create a font object
# font = pygame.font.Font(None, 24)
QA_actions = dict(type='int', num_actions=4)
QA_states = dict(shape=(4,4,1), type='float')
#QA_states = dict(shape=(16,), type='float')
#QA_dummy = [dict(type='dense', size=32), dict(type='dense', size=32)]
agent = tensorforce.agents.DQNAgent(states_spec = QA_states,
actions_spec = QA_actions,
network_spec = QA_CNN,
device=None,
#session_config=None,
scope='dqn',
saver_spec=dict(
load = True,
directory = "checkpoints",
steps = 100
),
summary_spec=None,
distributed_spec=None,
optimizer=dict(
type='adam',
learning_rate=1e-2
),
discount=0.99,
variable_noise=None,
#states_preprocessing_spec=None,
#explorations_spec=None,
#reward_preprocessing_spec=None,
#distributions_spec=None,
entropy_regularization=None,
target_sync_frequency=10000,
target_update_weight=1.0,
double_q_model=False,
huber_loss=None,
batched_observe=1000,
batch_size=32,
memory=dict(
type='replay',
capacity=100000
),
first_update=10000,
update_frequency=4,
repeat_update=1)
print('Game started!')
for e in range(num_episodes):
# Create a game of that dimension
game = tzfe.TwoZeroFourEight(grid_size)
##WZ
### RF INIT ###
agent.reset()
last_score = 0
game_over = False
##WZ
while not(game_over):
# for event in pygame.event.get():
# if event.type == pygame.QUIT:
# sys.exit(0)
# Generate a random move
##WZ
#state = np.reshape(game.get_state(),-1)
#Preprocessing
state_vec = np.reshape(game.get_state(),-1)
pp = np.log2(np.maximum(state_vec,1))
pp1 = np.reshape(pp,(4,4))
state = np.expand_dims(pp1,axis=2)
#state = np.expand_dims(game.get_state(),axis=2)
action = agent.act(states=state)
rand_move = action
##WZ
# all moves
all_moves = ["LEFT", "UP", "RIGHT", "DOWN"]
# Now figure out what key it is
# run the game
if all_moves[rand_move] == "LEFT":
game.slide_left()
game_over, new_tile = game.insert_new_tile()
elif all_moves[rand_move] == "UP":
game.slide_up()
game_over, new_tile = game.insert_new_tile()
elif all_moves[rand_move] == "RIGHT":
game.slide_right()
game_over, new_tile = game.insert_new_tile()
elif all_moves[rand_move] == "DOWN":
game.slide_down()
game_over, new_tile = game.insert_new_tile()
##WZ
score = game.get_score()
latest_reward = score-last_score
agent.observe(reward=latest_reward, terminal=game_over)
last_score = score
##WZ
# # Fill the screen
# screen.fill(kinda_gray)
# # Score string
# score_string = "Score: {0:0>-06d}".format(game.get_score())
# # Write out score
# score_surface = font.render(score_string, True, blacky_black)
# score_rect = score_surface.get_rect()
# score_rect.topright = screen_rect.topright
# screen.blit(score_surface, score_rect)
# # Now draw the game onto the screen
# for i in range(grid_size):
# for j in range(grid_size):
# tile_top = i * tile_size + header_height
# tile_left = j * tile_size
# tile_value = game.get_tile_value(i, j)
# tile_rect = pygame.draw.rect(screen, blacky_black, (tile_left, tile_top, tile_size, tile_size), 1)
# screen.fill(kinda_orange[tile_value], tile_rect)
# if tile_value > 0:
# # draw a square tile
# tile_value_string = "{0:^4d}".format(tile_value)
# tile_value_surface = font.render(tile_value_string, True, chocolate_brown)
# tile_value_surface_rect = tile_value_surface.get_rect()
# tile_value_surface_rect.center = tile_rect.center
# screen.blit(tile_value_surface, tile_value_surface_rect)
print("Episode: {} Last action: {} Current score: {} {}".format(e, all_moves[rand_move], score, " "*20), end="\r")
# check game over and paint it to top left in RED
if game_over:
#game_over_surface = font.render("Game Over", True, booooo_red)
#game_over_rect = game_over_surface.get_rect()
#game_over_rect.topleft = screen_rect.topleft
#screen.blit(game_over_surface, game_over_rect)
reward_history.append(score)
if (e % 100 == 0) and (e>99):
print('Episode: {} | Mean last 100 games: {} {}'.format(e, np.mean(reward_history[-100:]), " "*50))
# 200 ms delay
time.sleep(artificial_delay)
# # Update the display
# pygame.display.update()
#evaluation:
print('--Evaluation--')
print('Highest score: %d' %np.max(reward_history))
with open('reward_history.txt','w') as f:
for rew in reward_history:
f.write("{}\n".format(rew))
# plt.plot(reward_history)
# plt.xlabel('Episodes')
# plt.ylabel('Score')
# plt.grid(True)
# plt.title('RandomAgent')
# pygame.quit()
sys.exit(0)