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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 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 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 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 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 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...