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Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.
Q-Value (Reinforcement Learning) on Grid World
🐍 The Project is based on Reinforcement Learning which trains the snake to eat the food present in the environment.
Q-learning and Q-value iteration algorithms for the Block-World environment.
Estimate (Local) False Discovery Rates with Weights, adapted from fdrtool