Tabular reinforcement learning project comparing policy evaluation, policy iteration, Q-learning, and SARSA in a custom 10×10 maze.
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Updated
Aug 19, 2026 - Jupyter Notebook
Tabular reinforcement learning project comparing policy evaluation, policy iteration, Q-learning, and SARSA in a custom 10×10 maze.
Escaping from a maze using Reinforcement Learning techniques.
Reinforcement Learning — Poker Agent — (Course: Reinforcement Learning, Semester X): a lightweight poker agent (partial information) with MDP setup, ε-greedy exploration, Q-learning/policy baseline, and evaluation.
Applying Reinforcement Learning theoretics to the game of Tic-Tac-Toe!
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