Papers and articles
Notes on readings related to reinforcement learning, neural nets, cognitive architectures, AI, and related topics.
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Reading Group
Ongoing
Meeting 10 (Wednesday, April 22, 2020)
- Figure out where the dynamical eqns from exercise 3 come from.
- Finish section 2 in tutorial.
- Strang Lecture 9: Independence, Basis and Dimension
- Discuss what more applied engineering here looks like.
Meeting 9 (Monday, April 20, 2020)
- A tutorial on the free-energy framework for modelling perception and learning: exercise 3
- 3.1 Matrix Transformations
- Strang Lecture 8: Solving Ax = b: Row Reduced Form R
Meeting 8 (Friday, April 17, 2020)
Meeting 7 (Thursday, April 16, 2020)
Meeting 6 (Saturday, April 11, 2020)
- Surfing Uncertainty: Chapter 3
- Strang Lecture 6: Column Space and Nullspace
- The free-energy principle: a unified brain theory?
Meeting 5 (Wednesday, April 8, 2020)
- Introduction to Bayesian data analysis - Part 1: What is Bayes?
- Introduction to Bayesian data analysis - Part 2: Why use Bayes?
- Introduction to Bayesian data analysis - Part 3: How to do Bayes?
- Strang Lecture 14: Orthogonal Vectors and Subspaces
Meeting 4 (Tuesday, April 7, 2020)
- Surfing Uncertainty: Chapter 2
Meeting 3 (Friday, April 3, 2020)
- Six views of embodied cognition
- Surfing Uncertainty: Chapter 1
Meeting 2 (Tuesday, March 31, 2020)
- Memory engrams: Recalling the past and imagining the future
- Surfing Uncertainty: Introduction
Meeting 1 (Friday, March 27, 2020)
- Zoom In: An Introduction to Circuits
- Feynman Machine: The Universal Dynamical Systems Computer
- Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics