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I trained a recurrent neural network to play mario kart humanstyle. Openai's ppo2 algo trained on super mario bros for 750m frames the p106100 mining card machine learning review. Mari/o is a program made of neural networks and genetic algorithms that kicks butt at super mario world.
This is an example of a genetic algorithm constructing neural network to beat super mario bros. This is a neat (neuroevolution of augmenting topologies) algorithm that's linked to the ram memory game attempting find connections play game. How to use double dqn, prioritised replay and duelling dqn models in reinforcement learning.
This is a complete tutorial on how to use mari/o learn play levels from super mario bros the nes. Read the article here for more info. Is a of an early edition mario agent written by me and nick abou risk for the 2009 reinforcement learning comp.
This video has no audio. Input into the model and area focused by spatial transformer. The fastest run after around 200 generations.