Algorithm
Links to this note
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Adaptive Computation Time
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Algorithmic Information theory
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Algorithmic probability
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ALife 2020
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Alternative learning mechanisms
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Automated discovery in complex systems
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Church-Turing thesis
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CMA-ES
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Complexity metrics
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Compression
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Computing in cellular automata
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Continual learning
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CPPN
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Dijkstra's algorithm
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Edge detection
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Elementary cellular automata
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Fast Marching method
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Genetic algorithms
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Gradient descent
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Gradient descent for wide two-layer neural networks – I : Global convergence
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Graham scan
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Halting probability
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Hash functions
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Hilbert curve indexing
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Kolmogorov complexity
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Lempel-Ziv-Welch algorithm
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Machine learning
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MAP-Elites
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Minimum description length
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Neural architecture search
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Neural network training
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Neural networks as dynamical systems
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NLP
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Notes
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Notes on: AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence by Clune, J. (2019)
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Notes on: Diversity preservation in minimal criterion coevolution through resource limitation by Brant, J. C., & Stanley, K. O. (2020)
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Notes on: Evolving Neural Networks through Augmenting Topologies by Stanley, K. O., & Miikkulainen, R. (2002)
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Notes on: Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems by Reinke, C., Etcheverry, M., & Oudeyer, P. (2020)
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Notes on: Modeling systems with internal state using evolino by Wierstra, D., Gomez, F. J., & Schmidhuber, J. (2005)
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Notes on: Network Deconvolution by Ye, C., Evanusa, M., He, H., Mitrokhin, A., Goldstein, T., Yorke, J. A., Fermuller, Cornelia, … (2020)
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Notes on: POET: open-ended coevolution of environments and their optimized solutions by Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019)
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Novelty search
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Picbreeder
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Quality diversity
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Raven's progressive matrices
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Reinforcement learning
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Reservoir computing
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Schmidhuber on Consciousness
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Search algorithms
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Stable marriage problem
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Supervised learning
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Talk: Alife 2020 keynote Luis Zaman - New Frontiers in Alife: What was old is new again
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Talk: Alife 2020 keynote Michael Levin - Robot Cancer
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Talk: Artificial Intelligence: A Guide for Thinking Humans
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Talk: The Importance of Open-Endedness in AI and Machine Learning
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