def create_observation_space(self):
obs_space = copy.deepcopy(self.env_to_wrap.observation_space)
# TODO: Properly compute the maximum
obs_space.spaces['vector'] = spaces.Box(low=-1.2,
high=1.2,
shape=[self.obf_vector_len])
return obs_space
def __init__(self, hand: str):
"""
Initializes the space of the handler with a spaces.Dict
of all of the spaces for each individual command.
"""
self._hand = hand
self._default = 0 # 'none'
super().__init__(spaces.Box(low=-1, high=1562, shape=(), dtype=np.int))
def __init__(self,
video_resolution: Tuple[int, int],
include_depth: bool = False):
self.include_depth = include_depth
self.video_resolution = video_resolution
space = None
if include_depth:
space = spaces.Box(0,
255,
list(video_resolution)[::-1] + [4],
dtype=np.uint8)
self.video_depth = 4
else:
space = spaces.Box(0,
255,
list(video_resolution)[::-1] + [3],
dtype=np.uint8)
self.video_depth = 3
self.video_height = video_resolution[0]
self.video_width = video_resolution[1]
super().__init__(space)
def __init__(self, item_list):
item_list = sorted(item_list)
super().__init__(
spaces.Dict(
spaces={
k: spaces.Box(low=0,
high=2304,
shape=(),
dtype=np.int32,
normalizer_scale='log')
for k in item_list
}))
self.num_items = len(item_list)
self.items = item_list
from minerl.herobraine.hero import spaces
from minerl.herobraine.env_spec import MISSIONS_DIR
import os
import numpy as np
import gym
missions_dir = MISSIONS_DIR
old_envs = []
old_envs.append(dict(
id='MineRLTreechop-v0',
entry_point='minerl.env:MineRLEnv',
kwargs={
'xml': os.path.join(missions_dir, 'treechop.xml'),
'observation_space': spaces.Dict({
'pov': spaces.Box(low=0, high=255, shape=(64, 64, 3), dtype=np.uint8),
}),
'action_space': spaces.Dict(spaces={
"forward": spaces.Discrete(2),
"back": spaces.Discrete(2),
"left": spaces.Discrete(2),
"right": spaces.Discrete(2),
"jump": spaces.Discrete(2),
"sneak": spaces.Discrete(2),
"sprint": spaces.Discrete(2),
"attack": spaces.Discrete(2),
"camera": spaces.Box(low=-180, high=180, shape=(2,), dtype=np.float32),
}),
'docstr': """
.. image:: ../assets/treechop1.mp4.gif
:scale: 100 %
def __init__(self):
super().__init__(
spaces.Box(low=0, high=128, shape=(1, ), dtype=np.uint8))
def __init__(self):
super().__init__(
spaces.Box(low=-180.0, high=180.0, shape=(), dtype=np.float32))
def __init__(self):
space = spaces.Box(0, 1, [6], dtype=np.float32)
super().__init__(space)
def __init__(self):
self._command = 'camera'
super().__init__(self.command, spaces.Box(low=-180, high=180, shape=[2], dtype=np.float32))
def create_action_space(self):
act_space = copy.deepcopy(self.env_to_wrap.action_space)
act_space.spaces['vector'] = spaces.Box(low=-1.05,
high=1.05,
shape=[self.obf_vector_len])
return act_space
def create_action_space(self):
act_list = self.remaining_action_space
act_list.append(('vector', spaces.Box(low=0.0, high=1.0, shape=[self.action_vector_len], dtype=np.float32)))
return spaces.Dict(sorted(act_list))
def create_observation_space(self):
obs_list = self.remaining_observation_space
# Todo: add maximum.
obs_list.append(('vector', spaces.Box(low=0.0, high=1.0, shape=[self.observation_vector_len], dtype=np.float32)))
return spaces.Dict(sorted(obs_list))
