Reinforcement learning agent implementations, intended for use with the Neodroid platform
Project description
Agent
This repository will host all initial machine learning efforts applying the Neodroid platform.
Neodroid is developed with support from Research Council of Norway Grant #262900. (https://www.forskningsradet.no/prosjektbanken/#/project/NFR/262900)
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Contents Of This Readme
Algorithms
- REINFORCE (PG)
- DQN
- DDPG
- PPO
- TRPO, GA, EVO, IMITATION...
Requirements
- pytorch
- tqdm
- Pillow
- numpy
- matplotlib
- torchvision
- torch
- Neodroid
- pynput
(Optional)
- visdom
- gym
To install these use the command:
pip3 install -r requirements.txt
Usage
Export python path to the repo root so we can use the utilities module
export PYTHONPATH=/path-to-repo/
For training a agent use:
python3 procedures/train_agent.py
For testing a trained agent use:
python3 procedures/test_agent.py
Results
Target Point Estimator
Using Depth, Segmentation And RGB images to estimate the location of target point in an environment.
REINFORCE (PG)
DQN
DDPG
PPO
GA, EVO, IMITATION...
Perfect Information Navigator
Has access to perfect location information about the obstructions and target in the environment, the objective is to navigate to the target with colliding with the obstructions.
REINFORCE (PG)
DQN
DDPG
PPO
GA, EVO, IMITATION...
Contributing
See guidelines for contributing here.
Licensing
This project is licensed under the Apache V2 License. See LICENSE for more information.
Citation
For citation you may use the following bibtex entry:
@misc{neodroid-agent,
author = {Heider, Christian},
title = {Neodroid Platform Agents},
year = {2018},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/sintefneodroid/agent}},
}
Other Components Of the Neodroid Platform
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Source Distributions
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