mirror of
https://github.com/wassname/DeepRL.git
synced 2026-09-06 16:30:12 +08:00
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
#######################################################################
|
|
# Copyright (C) 2017 Shangtong Zhang(zhangshangtong.cpp@gmail.com) #
|
|
# Permission given to modify the code as long as you keep this #
|
|
# declaration at the top #
|
|
#######################################################################
|
|
import gym
|
|
import sys
|
|
import numpy as np
|
|
from atari_wrapper import *
|
|
|
|
class BasicTask:
|
|
def transfer_state(self, state):
|
|
return state
|
|
|
|
def normalize_state(self, state):
|
|
return state
|
|
|
|
def reset(self):
|
|
state = self.env.reset()
|
|
return self.transfer_state(state)
|
|
|
|
def step(self, action):
|
|
next_state, reward, done, info = self.env.step(action)
|
|
next_state = self.transfer_state(next_state)
|
|
return next_state, np.sign(reward), done, info
|
|
|
|
class MountainCar(BasicTask):
|
|
name = 'MountainCar-v0'
|
|
success_threshold = -110
|
|
|
|
def __init__(self):
|
|
self.env = gym.make(self.name)
|
|
self.env._max_episode_steps = sys.maxsize
|
|
|
|
class CartPole(BasicTask):
|
|
name = 'CartPole-v0'
|
|
success_threshold = 195
|
|
|
|
def __init__(self):
|
|
self.env = gym.make(self.name)
|
|
|
|
class LunarLander(BasicTask):
|
|
name = 'LunarLander-v2'
|
|
success_threshold = 200
|
|
|
|
def __init__(self):
|
|
self.env = gym.make(self.name)
|
|
|
|
class PixelAtari(BasicTask):
|
|
success_threshold = 1000
|
|
|
|
def __init__(self, name, no_op, frame_skip):
|
|
env = gym.make(name)
|
|
assert 'NoFrameskip' in env.spec.id
|
|
env = EpisodicLifeEnv(env)
|
|
env = NoopResetEnv(env, noop_max=no_op)
|
|
env = MaxAndSkipEnv(env, skip=frame_skip)
|
|
if 'FIRE' in env.unwrapped.get_action_meanings():
|
|
env = FireResetEnv(env)
|
|
env = ProcessFrame84(env)
|
|
self.env = ClippedRewardsWrapper(env)
|
|
|
|
def normalize_state(self, state):
|
|
return np.asarray(state, dtype=np.float32) / 255.0
|