checking_with_5_agents

README.md

@@ -12,34 +12,6 @@ This simulation can be used in conjunction with reinforcement learning to learn
 **[The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies](https://arxiv.org/abs/2004.13332)**,
 *Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher.*
 
-If you use this code in your research, please cite us using this BibTeX entry:
-
-```
-@misc{2004.13332,
-  Author = {Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher},
-  Title = {The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies},
-  Year = {2020},
-  Eprint = {arXiv:2004.13332},
-}
-```
-
-For more information and context, check out:
-
-- [The AI Economist website](https://www.einstein.ai/the-ai-economist)
-- [Blog: The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies](https://blog.einstein.ai/the-ai-economist/)
-- [Blog: The AI Economist moonshot](https://blog.einstein.ai/the-ai-economist-moonshot/)
-
-## Simulation Card: Ethics Review and Intended Use
-
-Please see our [Simulation Card](https://github.com/salesforce/ai-economist/blob/master/Simulation_Card_Foundation_Economic_Simulation_Framework.pdf) for a review of the intended use and ethical review of our framework.
-
-## Join us on Slack
-
-If you're interested in extending this framework, discussing machine learning for economics, and collaborating on research project:
-
-- join our Slack channel [aieconomist.slack.com](https://aieconomist.slack.com) using this [invite link](https://join.slack.com/t/aieconomist/shared_invite/zt-g71ajic7-XaMygwNIup~CCzaR1T0wgA), or
-- email us @ ai.economist@salesforce.com.
-
 ## Installation Instructions
 
 To get started, you'll need to have Python 3.6+ installed.
@@ -57,7 +29,7 @@ pip install ai-economist
 1. Clone this repository to your local machine:
 
     ```
-    git clone www.github.com/salesforce/ai-economist
+    git clone www.github.com/swarnabha13/ai-economist
     ```
 
 2. Create a new conda environment (named "ai-economist" below - replace with anything else) and activate it
@@ -98,18 +70,6 @@ To test your installation, try running:
 conda activate ai-economist
 python -c "import ai_economist"
 ```
-
-## Getting Started
-
-### Tutorials
-
-To familiarize yourself with Foundation, check out the tutorials in the `tutorials` folder. You can run these notebooks interactively in your browser on Google Colab.
-
-- [tutorials/economic_simulation_basic.ipynb](https://www.github.com/salesforce/ai-economist/blob/master/tutorials/economic_simulation_basic.ipynb) ([Try this on Colab](http://colab.research.google.com/github/salesforce/ai-economist/blob/master/tutorials/economic_simulation_basic.ipynb)!): Shows how to interact with and visualize the simulation.
-- [tutorials/economic_simulation_advanced.ipynb](https://www.github.com/salesforce/ai-economist/blob/master/tutorials/economic_simulation_advanced.ipynb) ([Try this on Colab](http://colab.research.google.com/github/salesforce/ai-economist/blob/master/tutorials/economic_simulation_advanced.ipynb)!): Explains how Foundation is built up using composable and flexible building blocks.
-
-To run these notebooks *locally*, you need [Jupyter](https://jupyter.org). See [https://jupyter.readthedocs.io/en/latest/install.html](https://jupyter.readthedocs.io/en/latest/install.html) for installation instructions and [(https://jupyter-notebook.readthedocs.io/en/stable/](https://jupyter-notebook.readthedocs.io/en/stable/) for examples of how to work with Jupyter.
-
 ## Structure of the Code
 
 The simulation is located in the `ai_economist/foundation` folder.
@@ -124,17 +84,14 @@ The code repository is organized into the following components:
 | [components](https://www.github.com/salesforce/ai-economist/blob/master/ai_economist/foundation/components) | Components are used to add some particular dynamics to an environment. They also add action spaces that define how Agents can interact with the environment via the Component. |
 | [scenarios](https://www.github.com/salesforce/ai-economist/blob/master/ai_economist/foundation/scenarios) | Scenarios compose Components to define the dynamics of the world. It also computes rewards and exposes state for visualization. |
 
-## Releases and Contributing
-
-- Please let us know if you encounter any bugs by filing a Github issue.
-- We appreciate all your contributions. If you plan to contribute new Components, Scenarios Entities, or anything else, please see our [contribution guidelines](https://www.github.com/salesforce/ai-economist/blob/master/CONTRIBUTING.md).
 
-## Changelog
+## Simulation Notebooks
 
-Current version: v1.1.1
+- [economic_simulation_basic.ipynb](https://github.com/swarnabha13/ai-economist/blob/master/economic_simulation_basic.ipynb)
+- [AI_Economist_RL.ipynb](https://github.com/swarnabha13/ai-economist/blob/master/AI_Economist_RL.ipynb)
+- [SARSA_Test.ipynb](https://github.com/swarnabha13/ai-economist/blob/master/SARSA_Test.ipynb)
 
-For the complete release history, see [CHANGELOG.md](https://www.github.com/salesforce/ai-economist/blob/master/CHANGELOG.md).
 
-## License
+## Presentation Video URL
 
-Foundation and the AI Economist are released under the [BSD-3 License](LICENSE.txt).
+[Video](https://drive.google.com/file/d/1P7jpxcrHfoUKTvW3XKxonVVD59bHuOJC/view?usp=sharing)