Spaces:
Runtime error
Runtime error
File size: 1,730 Bytes
2a33798 |
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 |
import numpy as np
# https://colab.research.google.com/drive/1DdWsGi10232orUv-reY4wsTmT0VMoHaX?usp=sharing#scrollTo=4OfVmDKk7XvG
# LLMs bias on 0 so make the actions 1, 2, 3, 4, 5 and 6 instead.
def dedicated_1_policy(state, pre_action=1):
def get_description():
return "Always select action 1"
dedicated_1_policy.description = get_description()
return 1
def dedicated_2_policy(state, pre_action=1):
def get_description():
return "Always select action 2"
dedicated_2_policy.description = get_description()
return 2
def dedicated_3_policy(state, pre_action=1):
def get_description():
return "Always select action 3"
dedicated_3_policy.description = get_description()
return 3
def dedicated_4_policy(state, pre_action=1):
def get_description():
return "Always select action 4"
dedicated_4_policy.description = get_description()
return 4
def dedicated_5_policy(state, pre_action=1):
def get_description():
return "Always select action 5"
dedicated_5_policy.description = get_description()
return 5
def dedicated_6_policy(state, pre_action=1):
def get_description():
return "Always select action 6"
dedicated_6_policy.description = get_description()
return 6
def pseudo_random_policy(state, pre_action):
def get_description():
return "Select action from 1 to 6 alternatively"
pseudo_random_policy.description = get_description()
return pre_action % 6 + 1
def real_random_policy(state,pre_action=1):
def get_description():
return "Select action with a random policy"
real_random_policy.description = get_description()
return np.random.choice([1, 2, 3, 4, 5, 6])
|