Ray Solomonoff
paper
queued
Foundational paper on algorithmic probability and universal induction. Basis for AIXI.
algorithmic-information
induction
prediction
foundational
Csaba Szepesvári
book
queued
Free condensed RL theory book; rigorous and compact. Alternative formal RL resource.
reinforcement-learning
theory
free-textbook
Marcus Hutter, Elliot Catt, David Quarel
book
completed
Chapman & Hall/CRC
Newer textbook presenting AIXI and related universal agent theory with updated structure; suitable after the core UAI book.
aixi
agi-theory
textbook
Stuart J. Russell, Peter Norvig
book
completed
4th (2020)
Standard AI textbook covering search, logic, probabilistic reasoning, RL, multiagent systems, and more. Canonical comprehensive AI text.
ai
textbook
search
logic
probabilistic-reasoning
rl
David Barber
book
completed
bayesian
machine-learning
graphical-models
Judea Pearl
book
completed
causality
graphical-models
inference
Ray Solomonoff
paper
queued
Later work on convergence properties of Solomonoff induction.
algorithmic-information
kolmogorov-complexity
convergence
Ian Goodfellow, Yoshua Bengio, Aaron Courville
book
completed
deep-learning
neural-networks
textbook
François Chollet
book
completed
deep-learning
keras
neural-networks
practical
Catherine F. Higham, Desmond J. Higham
book
queued
Perspective of deep learning from applied math. Bridges math with neural nets.
deep-learning
applied-math
neural-networks
Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
book
queued
Free open-source deep learning book with code and math integrated. Interactive deep learning resource with runnable code.
deep-learning
neural-networks
free-textbook
interactive
Douglas R. Hofstadter
book
queued
Explores analogy and cognition via computational models. Classic work on analogy and cognition modeling.
analogy
cognition
computational-models
ai
Douglas Hofstadter
book
completed
Classic exploration of self-reference, formal systems, and the nature of mind.
ai
consciousness
recursion
formal-systems
Kevin P. Murphy
book
completed
machine-learning
bayesian
probabilistic
Christopher M. Bishop
book
completed
machine-learning
bayesian
textbook
Moritz Hardt, Benjamin Recht
book
queued
Modern graduate ML text with causal inference, decision making, and ML foundations. Accessible free textbook with strong conceptual framing.
machine-learning
causal-inference
decision-making
free-textbook
Daphne Koller, Nir Friedman
book
completed
graphical-models
bayesian-networks
inference
Richard S. Sutton, Andrew G. Barto
book
completed
Mathematical RL fundamentals (MDPs, value functions, dynamic programming, approximate methods). RL foundational text that bridges theory and practice.
reinforcement-learning
mdp
value-functions
dynamic-programming
Judea Pearl, Dana Mackenzie
book
completed
causality
graphical-models
popular-science
Trevor Hastie, Robert Tibshirani, Jerome Friedman
book
completed
machine-learning
statistics
textbook
Pedro Domingos
book
completed
machine-learning
popular-science
tribes
Andrej Karpathy
paper
completed
Seminal blog post demonstrating the power of character-level RNNs. Shows Shakespeare generation, Wikipedia generation, LaTeX generation, and Linux kernel code generation. The visualizations of LSTM cells are particularly illuminating.
deep-learning
rnn
lstm
language-models
blog
Marcus Hutter
book
completed
Springer (Texts in Theoretical Computer Science)
Formal theory of universal agents combining Solomonoff induction and sequential decision theory; foundational for AGI theory.
aixi
solomonoff-induction
algorithmic-information
agi-theory