- Jul 2023
This famous paper gives a great review of the DQN algorithm a couple years after it changed everything in Deep RL. It compares six different extensions to DQN for Deep Reinforcement Learning, many of which have now become standard additions to DQN and other Deep RL algorithms. It also combines all of them together to produce the "rainbow" algorithm, which outperformed many other models for a while.
- Mar 2022
These ways of knowinghave inherent value and are leading Western scientists to betterunderstand celestial phenomena and the history and heritage thisconstitutes for all people.
The phrase "ways of knowing" is fascinating and seems to have a particular meaning across multiple contexts.
I'd like to collect examples of its use and come up with a more concrete definition for Western audiences.
How close is it to the idea of ways (or methods) of learning and understanding? How is it bound up in the idea of pedagogy? How does it relate to orality and memory contrasted with literacy? Though it may not subsume the idea of scientific method, the use, evolution, and refinement of these methods over time may generally equate it with the scientific method.
Could such an oral package be considered a learning management system? How might we compare and contrast these for drawing potential equivalencies of these systems to put them on more equal footing from a variety of cultural perspectives? One is not necessarily better than another, but we should be able to better appreciate what each brings to the table of world knowledge.
- Feb 2022
The hermeneutic circle (German: hermeneutischer Zirkel) describes the process of understanding a text hermeneutically. It refers to the idea that one's understanding of the text as a whole is established by reference to the individual parts and one's understanding of each individual part by reference to the whole. Neither the whole text nor any individual part can be understood without reference to one another, and hence, it is a circle. However, this circular character of interpretation does not make it impossible to interpret a text; rather, it stresses that the meaning of a text must be found within its cultural, historical, and literary context.
The hermeneutic circle is the idea that understanding a text in whole is underpinned by understanding its constituent parts and understanding the individual parts is underpinned by understanding the whole thereby making a circle of understanding. This understanding of a text is going to be heavily influenced by a text's cultural, historical, literary, and other contexts.
- Sep 2020
Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.
- recommender system
- experimental approach
- predictive accuracy
- artificial intelligence
- parameterized model
- machine learning
- exploration-exploitation tradeoff
- information filtering
- active learning
- recommendation accuracy
- cognitive science
- computer science