AI agent game competition - Reinforcement learning (Monte Carlo Tree Search, Deep Q-learning, Minimax)
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Updated
Jun 22, 2022 - Python
AI agent game competition - Reinforcement learning (Monte Carlo Tree Search, Deep Q-learning, Minimax)
A simple game aimed at training an artificial agent to play it considerably well.
Implement the Scripted and DQN Agents for Pysc2 BuildMarines Minigame with PyTorch
The aim of this repository is the analysis and study of computer intelligence and in-depth learning techniques in the development of intelligent gaming agents.
My on-going submission to the Kaggle HungryGeese competition where you pit your reinforcement learning agent against other competitors. https://www.kaggle.com/c/hungry-geese
Snake game with RL
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