Description

This repository is the bunch of source codes for the ICAPS-21 It includes an ASP code base that provides action knowledge, source code for the proposed method, and reinforcement learning algorithms for comparison.

How to run

Please create directories for logs, figures, and binary data of trained agents at the root directory.

mkdir -p datas/images datas/logs

Install dependencies

pip install -r requirements.txt

For running simulation experiments, please execute the following command.

sh run.sh

There are 6 experiments in run.sh. The results of 6 experiments are included to the main paper. The remaining experiments are auxiliary experiments where the agent navigates another initial state to another goal state. You can change some parameters of the agents and simulation settings by modifying run.sh, exe/exeutils.py.