mirror of
https://github.com/vale981/ray
synced 2025-03-06 02:21:39 -05:00
42991d723f
Cleans up of the rllib/examples folder by moving all example Envs into rllibexamples/env (so they can be used by other scripts and tests as well).
32 lines
830 B
Python
32 lines
830 B
Python
import gym
|
|
from gym.spaces import Discrete
|
|
import random
|
|
|
|
|
|
class RepeatInitialObsEnv(gym.Env):
|
|
"""Env in which the initial observation has to be repeated all the time.
|
|
|
|
Runs for n steps.
|
|
r=1 if action correct, -1 otherwise (max. R=100).
|
|
"""
|
|
|
|
def __init__(self, episode_len=100):
|
|
self.observation_space = Discrete(2)
|
|
self.action_space = Discrete(2)
|
|
self.token = None
|
|
self.episode_len = episode_len
|
|
self.num_steps = 0
|
|
|
|
def reset(self):
|
|
self.token = random.choice([0, 1])
|
|
self.num_steps = 0
|
|
return self.token
|
|
|
|
def step(self, action):
|
|
if action == self.token:
|
|
reward = 1
|
|
else:
|
|
reward = -1
|
|
self.num_steps += 1
|
|
done = self.num_steps >= self.episode_len
|
|
return 0, reward, done, {}
|