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A Comment on “Evolving Nash-Optimal Poker Strategies Using Evolutionary...
I recently read this paper where the authors claim that they are evolving psuedo-optimal strategies for poker. Given that we know evolutionary processes do not necessarily minimize losses, I was...
View ArticleEvolutionary Algorithms: The Little Things (Part 1)
I'm the kind of person who finds himself reading about a new technology or a cool algorithm, and tries to implement it based on the high-level description. Unfortunately, I don't always guess...
View ArticleTutorial – Evolving Neural Networks with SharpNEAT 2 (Part 1)
The Neuro-Evolution via Augmenting Topologies (NEAT)1 algorithm enables users to evolve neural networks without having to worry about esoteric details like hidden layers. Instead, NEAT is clever...
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Tutorial – Evolving Neural Networks with SharpNEAT 2 (Part 2)
In part 1 of the tutorial, we setup a basic experiment to evolve a neural network to play Tic-Tac-Toe against a couple of hand-coded opponents. In part 2, we're going to create a competitive...
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Evolving Nash Equilibria – A Quick Correction
As I noted in my first post, I was a little skeptical about whether a Nash Equilibrium (NE) could be evolved by taking the squared loss of each hand. My conclusions were that, given an expected value...
View ArticleTutorial – Evolving Neural Networks with SharpNEAT 2 (Part 3)
In parts 1 and 2 of this tutorial series, we evolved neural networks using the standard NEAT algorithm. In part 3, we're going to use the HyperNEAT algorithm. So far, our neural networks have been...
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