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Model-based Policy Gradients

Python 100.00%
model-based reinforcement-learning backpropagation mujoco mujoco-py finite-difference computational-graphs pytorch gym openai-gym

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model-based-rl's Issues

ModuleNotFoundError: No module named 'optimizer'

Hi,
Hope you are doing well.
I tried run this code, but I am getting following error. Please let me know what I need to do to fix it.

(VANILLA) shubham@shubham-VirtualBox:~/Model-Based-RL$ python3 main.py --config-file ./configs/inverted_pendulum.yaml
Traceback (most recent call last):
File "main.py", line 5, in
import model.engine.trainer
File "/home/shubham/Model-Based-RL/model/init.py", line 1, in
from .build import build_model
File "/home/shubham/Model-Based-RL/model/build.py", line 2, in
from model import archs
File "/home/shubham/Model-Based-RL/model/archs/init.py", line 1, in
from .basic import Basic
File "/home/shubham/Model-Based-RL/model/archs/basic.py", line 3, in
from model.blocks import build_policy, mj_torch_block_factory
File "/home/shubham/Model-Based-RL/model/blocks/init.py", line 1, in
from .policy import build_policy
File "/home/shubham/Model-Based-RL/model/blocks/policy/init.py", line 3, in
from .trajopt import TrajOpt
File "/home/shubham/Model-Based-RL/model/blocks/policy/trajopt.py", line 4, in
from .strategies import *
File "/home/shubham/Model-Based-RL/model/blocks/policy/strategies.py", line 9, in
from optimizer import Optimizer
ModuleNotFoundError: No module named 'optimizer'

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