User:MuthanaAlhadrab/Choose an Article

Article Selection
Please list articles that you're considering for your Wikipedia assignment below. Begin to critique these articles and find relevant sources.

Option 1

 * Two-way communication - Wikipedia
 * Article Evaluation
 * I believe this article could use some work. There is a showcase for the Shannon-weaver communication model, however, it was not mentioned in the article. I could link it to some other Wikipedia article and another source. There could also be some more examples on Two-way communication in other fields like Business, or politics. There could also be some mentioning of One-way communication and a brief contrast.
 * Sources
 * Two-way Communication Costs and the Boundaries of the Firm: International Journal of the Economics of Business: Vol 6, No 3 (tandfonline.com): This article is showcases the use of Two-way communication within the boundaries of a business and would be a great example to use in the common forms of two-way communication.
 * Communication channels in the 1980s: A paratheory (tandfonline.com). I'm using the same source that I used for the Journal class. It talks about the Shannon-weaver communication model, which is enough of a source to mention the model in the article.
 * One-Way Communication | The College of Idaho (worldcat.org). An old source that describes One-way communication and is helpful as a point of view for contrast.
 * Communication channels in the 1980s: A paratheory (tandfonline.com). I'm using the same source that I used for the Journal class. It talks about the Shannon-weaver communication model, which is enough of a source to mention the model in the article.
 * One-Way Communication | The College of Idaho (worldcat.org). An old source that describes One-way communication and is helpful as a point of view for contrast.
 * One-Way Communication | The College of Idaho (worldcat.org). An old source that describes One-way communication and is helpful as a point of view for contrast.
 * One-Way Communication | The College of Idaho (worldcat.org). An old source that describes One-way communication and is helpful as a point of view for contrast.

Option 2

 * Article title
 * Rebel - Poker bot


 * Article Evaluation
 * This article was not created yet. Rebel is the most advanced poker bot with the highest accuracy that was developed by Facebook AI group. It combines Deep reinforcement Learning and the search (as in tree search) for imperfect information games. There is no publicly available implementation of the bot due to the ethical concerns it has with online poker.


 * Sources
 * 2007.13544.pdf (arxiv.org): This source is the original paper of the Rebel algorithm.
 * Deep Counterfactual Regret Minimization (arxiv.org): This source explain Counterfactual Regret Minimization (CFR) which is the algorithm for the tree searching in the Rebel bot.
 * A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (science.org). This paper explains the General Deep RL algorithm that was used for AlphaZero, which was the base algorithm for Rebel.
 * A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (science.org). This paper explains the General Deep RL algorithm that was used for AlphaZero, which was the base algorithm for Rebel.
 * A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (science.org). This paper explains the General Deep RL algorithm that was used for AlphaZero, which was the base algorithm for Rebel.

Option 3

 * Article title
 * Computer poker player - Wikipedia


 * Article Evaluation
 * This article talks about Poker bots but doesn't mention Rebel. It would be great to add a paragraph that explains Rebel in a high level. The same sources can be used as above.


 * Sources
 * 2007.13544.pdf (arxiv.org): This source is the original paper of the Rebel algorithm.
 * Deep Counterfactual Regret Minimization (arxiv.org): This source explain Counterfactual Regret Minimization (CFR) which is the algorithm for the tree searching in the Rebel bot.
 * A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (science.org). This paper explains the General Deep RL algorithm that was used for AlphaZero, which was the base algorithm for Rebel.
 * A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (science.org). This paper explains the General Deep RL algorithm that was used for AlphaZero, which was the base algorithm for Rebel.
 * A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (science.org). This paper explains the General Deep RL algorithm that was used for AlphaZero, which was the base algorithm for Rebel.