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test_agent_clean.py
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test_agent_clean.py
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import gym
import torch
import pickle
import numpy as np
from core.agent import Agent
#specify location of model in model_path to test a model
#specify location of the project
loc = '/home/pauel'
def test_CartPole(render=False, model_path=None, runs=10):
env_name = 'CartPole-v1'
if render:
env = gym.make(
env_name,
render_mode='human',
)
else:
env = gym.make(
env_name
)
observation, info = env.reset(seed=42)
if model_path == None:
model_path = loc + '/' +'PycharmProjects/PyTorch-CPO/assets/CP_default.p'
try:
policy_net, _, _ = pickle.load(open(model_path, "rb"))
except:
policy_net, _ = pickle.load(open(model_path, "rb"))
device = 'cpu'
policy_net.to(device)
"""create agent"""
run = 0
for i in range(20000):
state_var = torch.tensor(observation, dtype=torch.float64).unsqueeze(0)
action = policy_net.select_action(state_var)[0]
observation, reward, terminated, truncated, info = env.step(
int(action.detach().numpy()[0])) # int(action.detach().numpy())
if truncated or terminated:
observation, info = env.reset()
run += 1
if run >= runs:
break
env.close()
def test_LunarLander(render=False, model_path=None, runs = 10, record_speed=False):
env_name = 'LunarLander-v2'
if render:
env = gym.make(
env_name,
render_mode='human',
)
else:
env = gym.make(
env_name
)
observation, info = env.reset(seed=42)
if model_path == None:
model_path = loc + '/' +'PycharmProjects/PyTorch-CPO/assets/LL_default.p'
try:
policy_net, _, _ = pickle.load(open(model_path, "rb"))
except:
policy_net, _ = pickle.load(open(model_path, "rb"))
device = 'cpu'
policy_net.to(device)
speed = [[]]
run = 0
for i in range(20000):
state_var = torch.tensor(observation, dtype = torch.float64).unsqueeze(0)
speed[-1].append(np.sum(np.abs(observation[2:4])))
action = policy_net.select_action(state_var)[0]
observation, reward, terminated, truncated, info = env.step(int(action.detach().numpy()[0])) #int(action.detach().numpy())
if (i%175==0 and record_speed) or (not record_speed and (truncated or terminated)):
observation, info = env.reset()
speed.append([])
run += 1
if run >= runs:
break
env.close()
return speed
if __name__ == '__main__':
test_CartPole(render=True)
#test_LunarLander(render=True)