sankalp-s / GratifAI

Developed an AI, a Deep Convolutional Q-Learning model combined to Eligibility Traces for playing ’Doom’ which is a first person shooting game and trying to beat the high score

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GratifAI

  • Compared various agents like Sarsa(0),Expected Sarsa and Q-Learning on the ‘Windy Grid world’ problem.
  • Experimented with LSTM-A3C model to develop an AI for playing Breakout (arcade game) and trying to beat it
  • Developed an AI, a Deep Convolutional Q-Learning model combined to Eligibility Traces for playing ’Doom’ which is a first person shooting game and trying to beat the high score

About

Developed an AI, a Deep Convolutional Q-Learning model combined to Eligibility Traces for playing ’Doom’ which is a first person shooting game and trying to beat the high score

License:MIT License


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Language:Python 100.0%