Howto 12 - (RL) Wrap mlpro Environment class to petting zoo environment
Ver. 1.0.3 (2021-12-03)
This module shows how to wrap mlpro’s Environment class to petting zoo compatible.
Prerequisites
- Please install the following packages to run this examples properly:
Example Code
## -------------------------------------------------------------------------------------------------
## -- Project : MLPro - A Synoptic Framework for Standardized Machine Learning Tasks
## -- Package : mlpro
## -- Module : Howto 12 - (RL) Wrap mlpro Environment class to petting zoo environment
## -------------------------------------------------------------------------------------------------
## -- History :
## -- yyyy-mm-dd Ver. Auth. Description
## -- 2021-10-02 0.0.0 SY Creation
## -- 2021-10-02 1.0.0 SY Released first version
## -- 2021-10-04 1.0.1 DA Minor fix
## -- 2021-11-15 1.0.2 DA Refactoring
## -- 2021-12-03 1.0.3 DA Refactoring
## -------------------------------------------------------------------------------------------------
"""
Ver. 1.0.3 (2021-12-03)
This module shows how to wrap mlpro's Environment class to petting zoo compatible.
"""
from mlpro.bf.math import *
from mlpro.rl.models import *
from mlpro.wrappers.pettingzoo import WrEnvMLPro2PZoo
from mlpro.rl.pool.envs.bglp import BGLP
import random
from pettingzoo.test import api_test
mlpro_env = BGLP(p_logging=Mode.C_LOG_ALL)
env = WrEnvMLPro2PZoo(mlpro_env, p_num_agents=5, p_state_space=None, p_action_space=None).pzoo_env
try:
api_test(env, num_cycles=10, verbose_progress=False)
print("test completed")
assert True
except:
print("test failed")
assert False
Results
…