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evgiz.net
Difficult roguelike shooter with a somber theme
The fast-paced combat is spiced up with a variety of unique items and weapons
found throughout the procedurally generated ...
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evgiz.net
evgiz.net
Deep Learning and Monte Carlo Tree Search
Monte Carlo Tree Search is a machine learning method used to efficiently explore very large state spaces. The method was famously used by Alpha Go a...
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evgiz.net
evgiz.net
Experiments with variational autoencoders and latent space interpolation
Variational autoencoders attempt to encode high dimensional data such as images into smaller, normally distributed la...
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evgiz.net
evgiz.net
Proximal Policy Optimization - teaching a biped how to walk
PPO is a powerful reinforcement learning algorithm which attempts to estimate the policy directly based on running estimates of ac...
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evgiz.net
evgiz.net
Raymarching and fractals in three dimensions
Raymarching is a variation of raytracing in which the length of steps for each ray is not constant.
This technique is well suited for fractals in...
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evgiz.net
evgiz.net
Many animals such as birds and fish exhibit complex flocking behaviors in nature.
Boids is an artificial life simulation which attempts to capture some of these flocking attributes. Interes...