- tags
- Computer science, Coding

# Algorithm

## Links to this note

- Adaptive Computation Time
- Algorithmic Information theory
- Algorithmic probability
- ALife 2020
- Alternative learning mechanisms
- Automated discovery in complex systems
- Church-Turing thesis
- CMA-ES
- Complexity metrics
- Compression
- Computing in cellular automata
- Continual learning
- CPPN
- Dijkstra's algorithm
- Edge detection
- Elementary cellular automata
- Fast Marching method
- Genetic algorithms
- Gradient descent
- Gradient descent for wide two-layer neural networks – I : Global convergence
- Graham scan
- Halting probability
- Hash functions
- Hilbert curve indexing
- Intrinsic motivation
- Ising model
- Knuth-Morris-Pratt string-searching algorithm
- Kolmogorov complexity
- Lempel-Ziv-Welch algorithm
- Levenshtein automata
- Levenshtein distance
- Machine learning
- MAP-Elites
- Meta-learning
- Minimum description length
- NEAT
- Neural architecture search
- Neural network training
- Neural networks
- Neural networks as dynamical systems
- NLP
- Notes
- Notes on: AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence by Clune, J. (2019)
- Notes on: Diversity preservation in minimal criterion coevolution through resource limitation by Brant, J. C., & Stanley, K. O. (2020)
- Notes on: Evolving a self-repairing, self-regulating, French flag organism by Miller, J. F. (2004)
- Notes on: Evolving Neural Networks through Augmenting Topologies by Stanley, K. O., & Miikkulainen, R. (2002)
- Notes on: Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems by Reinke, C., Etcheverry, M., & Oudeyer, P. (2020)
- Notes on: Learned Initializations for Optimizing Coordinate-Based Neural Representations by Tancik, M., Mildenhall, B., Wang, T., Schmidt, D., Srinivasan, P. P., Barron, J. T., & Ng, R. (2021)
- Notes on: Modeling systems with internal state using evolino by Wierstra, D., Gomez, F. J., & Schmidhuber, J. (2005)
- Notes on: Network Deconvolution by Ye, C., Evanusa, M., He, H., Mitrokhin, A., Goldstein, T., Yorke, J. A., Fermuller, Cornelia, … (2020)
- Notes on: POET: open-ended coevolution of environments and their optimized solutions by Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019)
- Novelty search
- Pattern-defeating quicksort
- Picbreeder
- Quality diversity
- Raven's progressive matrices
- Reinforcement learning
- Reservoir computing
- Schmidhuber on Consciousness
- Search algorithms
- Stable marriage problem
- Supervised learning
- Talk: Alife 2020 keynote Luis Zaman - New Frontiers in Alife: What was old is new again
- Talk: Alife 2020 keynote Michael Levin - Robot Cancer
- Talk: Artificial Intelligence: A Guide for Thinking Humans
- Talk: The Importance of Open-Endedness in AI and Machine Learning
- Tropical semiring
- Word vectors