-
Notifications
You must be signed in to change notification settings - Fork 0
/
env_bluelake.py
211 lines (153 loc) · 5.54 KB
/
env_bluelake.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
"""
Gym Environment for Bluelake Compatible with Atari.
## ALE apis those the games should implement :
self.ale = bluelake.pong.GMPong('Pong', 800, 550)
self._action_set = self.ale.getMinimalActionSet()
(screen_width,screen_height) = self.ale.getScreenDims()
reward += self.ale.act(action)
return ob, reward, self.ale.game_over(), {}
(screen_width,screen_height) = ale.getScreenDims()
ale.getScreenRGB(arr) # says rgb but actually bgr
ram_size = ale.getRAMSize()
ale.getRAM(ram)
self.ale.reset_game()
"""
import numpy as np
import os
import gym
from gym import error, spaces
from gym import utils
from gym.utils import seeding
import logging
logger = logging.getLogger(__name__)
def to_rgb(ale):
(screen_width,screen_height) = ale.getScreenDims()
arr = np.zeros((screen_height, screen_width, 4), dtype=np.uint8)
a = ale.getScreenRGB(arr)
b = np.fromiter(a, dtype=np.uint8)
c = b.reshape((screen_height, screen_width, 3))
return c
def to_ram(ale):
ram_size = ale.getRAMSize()
ram = np.zeros((ram_size),dtype=np.uint8)
a = ale.getRAM(ram)
c = np.frombuffer(a, dtype=np.uint8)
return c
class BBluelakeEnv(gym.Env, utils.EzPickle):
metadata = {'render.modes': ['human', 'rgb_array']}
def __init__(self, gm_name=None, gm_size=None,
obs_type='ram', frameskip=(2, 5),
*args, **kwargs):
utils.EzPickle.__init__(self, obs_type)
assert obs_type in ('ram', 'image')
self.gm_name = gm_name
self.gm_size = gm_size
self._obs_type = obs_type
self.frameskip = frameskip
self.viewer = None
game = bluegym_get_game_by_name(self.gm_name)
self.ale = game(self.gm_name,
self.gm_size[0], self.gm_size[1],
simu=True,
**kwargs)
self._seed()
(screen_width, screen_height) = self.ale.getScreenDims()
self._buffer = np.empty((screen_height, screen_width, 4), dtype=np.uint8)
self._action_set = self.ale.getMinimalActionSet()
self.action_space = spaces.Discrete(len(self._action_set))
(screen_width,screen_height) = self.ale.getScreenDims()
if self._obs_type == 'ram':
self.observation_space = spaces.Box(low=np.zeros(128), high=np.zeros(128)+255)
elif self._obs_type == 'image':
self.observation_space = spaces.Box(low=0, high=255, shape=(screen_height, screen_width, 3))
else:
raise error.Error('Unrecognized observation type: {}'.format(self._obs_type))
# do a step to start mainloop()
action = self._action_set[0]
self.ale.act(action)
def _seed(self, seed=None):
self.np_random, seed1 = seeding.np_random(seed)
# Derive a random seed. This gets passed as a uint, but gets
# checked as an int elsewhere, so we need to keep it below
# 2**31.
seed2 = seeding.hash_seed(seed1 + 1) % 2**31
return [seed1, seed2]
def _step(self, a):
reward = 0.0
action = self._action_set[a]
if isinstance(self.frameskip, int):
num_steps = self.frameskip
else:
num_steps = self.np_random.randint(self.frameskip[0],
self.frameskip[1])
for _ in range(num_steps):
reward += self.ale.act(action)
ob = self._get_obs()
return ob, reward, self.ale.game_over(), {}
def _get_image(self):
self._buffer = self.ale.getScreenRGB(self._buffer)
return self._buffer[:, :, [2, 1, 0]] # says rgb but actually bgr
def _get_ram(self):
return to_ram(self.ale)
@property
def _n_actions(self):
return len(self._action_set)
def _get_obs(self):
if self._obs_type == 'ram':
return self._get_ram()
elif self._obs_type == 'image':
img = self._get_image()
return img
# return: (states, observations)
def _reset(self):
self.ale.reset_game()
return self._get_obs()
def _render(self, mode='human', close=False): # TODO:
if close:
if self.viewer is not None:
self.viewer.close()
self.viewer = None
return
img = self._get_image()
if mode == 'rgb_array':
return img
elif mode == 'human':
from gym.envs.classic_control import rendering
if self.viewer is None:
self.viewer = rendering.SimpleImageViewer()
self.viewer.imshow(img)
def get_action_meanings(self): # TODO:
return [ACTION_MEANING[i] for i in self._action_set]
# import all bluegym games
from .gymfdt import GMGymFdt
from .gymroad import GMGymRoad
from .gymbird import GMGymBird
BB_GAME_NAME = {
'gymfdt': GMGymFdt,
'gymroad': GMGymRoad,
'gymbird': GMGymBird,
}
def bluegym_get_game_by_name(name):
return BB_GAME_NAME.get(name)
# register bluelake env
from gym.envs.registration import registry, register
def gym_env_register_bluelake(
game_name, game_size,
game_id,
obs_type='image',
frameskip=(1, 2),
*args, **kwargs):
kws = {
'gm_name': game_name,
'gm_size': game_size,
'obs_type': obs_type,
'frameskip': frameskip,
}
kws.update(**kwargs)
register(
id=game_id,
entry_point='bluegym.env_bluelake:BBluelakeEnv',
kwargs=kws,
timestep_limit=10000,
nondeterministic=True,
)