本文整理汇总了Python中gym.utils.seeding.np_random方法的典型用法代码示例。如果您正苦于以下问题：Python seeding.np_random方法的具体用法？Python seeding.np_random怎么用？Python seeding.np_random使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类gym.utils.seeding的用法示例。
在下文中一共展示了seeding.np_random方法的14个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: step
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def step(self, action):
reward = -1
done = False
self.step_n += 1
if self.digit==-1:
pass
else:
if self.digit==action:
reward = +1
done = self.step_n > 20 and 0==self.np_random.randint(low=0, high=5)
self.digit = self.np_random.randint(low=0, high=10)
obs = np.zeros( (FIELD_H,FIELD_W,3), dtype=np.uint8 )
obs[:,:,:] = self.color_bg
digit_img = np.zeros( (6,6,3), dtype=np.uint8 )
digit_img[:] = self.color_bg
xxx = self.bogus_mnist[self.digit]==42
digit_img[xxx] = self.color_digit
obs[self.digit_y-3:self.digit_y+3, self.digit_x-3:self.digit_x+3] = digit_img
self.last_obs = obs
return obs, reward, done, {} 示例2: _step
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def _step(self, action):
assert self.action_space.contains(action)
if action: # hit: add a card to players hand and return
self.player.append(draw_card(self.np_random))
if is_bust(self.player):
done = True
reward = -1
else:
done = False
reward = 0
else: # stick: play out the dealers hand, and score
done = True
while sum_hand(self.dealer) < 17:
self.dealer.append(draw_card(self.np_random))
reward = cmp(score(self.player), score(self.dealer))
if self.natural and is_natural(self.player) and reward == 1:
reward = 1.5
return self._get_obs(), reward, done, {} 示例3: __init__
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def __init__(self, strict=False):
self.strict = strict
# What about metadata and spec?
self.reward_range = (-1.0, 1.0)
# Action space -- 9 positions that we can chose to mark.
self.action_space = spaces.Discrete(9)
# Observation space -- this hopefully does what we need.
self.observation_space = spaces.Box(
low=-1, high=1, shape=(3, 3), dtype=np.int64)
# Set the seed.
self.np_random = None
self.seed()
# Start the game.
self.board_state = None
self.done = False
self.reset() 示例4: step
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def step(self, action):
action = action/100.0 # convert from pennies to dollars
if action > self.wealth: # treat attempts to bet more than possess as == betting everything
action = self.wealth
if self.wealth < 0.000001:
done = True
reward = 0.0
else:
if self.rounds == 0:
done = True
reward = self.wealth
else:
self.rounds = self.rounds - 1
done = False
reward = 0.0
coinflip = flip(self.edge, self.np_random)
if coinflip:
self.wealth = min(self.maxWealth, self.wealth + action)
else:
self.wealth = self.wealth - action
return self._get_obs(), reward, done, {} 示例5: step
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def step(self, action):
assert self.action_space.contains(action)
if action: # hit: add a card to players hand and return
self.player.append(draw_card(self.np_random))
if is_bust(self.player):
done = True
reward = -1
else:
done = False
reward = 0
else: # stick: play out the dealers hand, and score
done = True
while sum_hand(self.dealer) < 17:
self.dealer.append(draw_card(self.np_random))
reward = cmp(score(self.player), score(self.dealer))
if self.natural and is_natural(self.player) and reward == 1:
reward = 1.5
return self._get_obs(), reward, done, {} 示例6: _seed
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def _seed(self, seed=None):
self.np_random, seed = seeding.np_random(seed)
return [seed] 示例7: _seed
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def _seed(self, seed=None):
self.np_random, seed = seeding.np_random(seed)
return [seed] 示例8: draw_card
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def draw_card(np_random):
return np_random.choice(deck) 示例9: draw_hand
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def draw_hand(np_random):
return [draw_card(np_random), draw_card(np_random)] 示例10: _reset
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def _reset(self):
self.dealer = draw_hand(self.np_random)
self.player = draw_hand(self.np_random)
# Auto-draw another card if the score is less than 12
while sum_hand(self.player) < 12:
self.player.append(draw_card(self.np_random))
return self._get_obs() 示例11: seed
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def seed(self, seed=None):
self.np_random, seed = seeding.np_random(seed)
return [seed] 示例12: seed
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def seed(self, seed=None):
self.np_random, seed = seeding.np_random(seed)
return [seed]
# TODO(afrozm): Parametrize by some policy so that the env plays in an optimal
# way. 示例13: play_random_move
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def play_random_move(self):
# Select open spaces.
open_spaces = get_open_spaces(self.board_state)
if not open_spaces:
return False
# Choose a space and mark it.
pos = self.np_random.choice(open_spaces)
i, j = decode_pos(pos)
self.board_state[i, j] = -1 示例14: reset
# 需要导入模块: from gym.utils import seeding [as 别名]
# 或者: from gym.utils.seeding import np_random [as 别名]
def reset(self):
self.board_state = np.zeros((3, 3), dtype=np.int64)
# We"ll start with a 50% chance.
if self.np_random.choice([0, 1]) == 0:
self.play_random_move()
# Return the observation.
return self.board_state