An implementation of an "intelligent" agent.
python main.py 5 15 0Average Reward: 921.0
Average Cells Cleaned: 9.6There are several issues that need to be addressed. Contributions are welcome.
- Environments
- Fixed nxn space
- No obstacles
- Dirt distribution
- Agents
- Most importantly more learning, fewer rules
- Perhaps split into distinct agents with varying degrees of capability (simple reflex, model-based reflex, goal-based, utility-based, and complex learning agents)
- Plots
- PNGs are temporarily stored in a directory to create GIFs
- A contour plot is better suited for plotting 3 dimensional surfaces
The MIT License (MIT)
Copyright (c) 2017 Aleksandar Velkoski avelkoski@realtors.org
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
The author is affiliated with the Data Science division of the National Association of REALTORS®.