CS4200
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    Lecture Notes

    Lecture 1: Introduction, Jan 26
    Lecture 2: Intelligent Agents, Jan 28, 2020
    Lecture 3: Search, Feb 2, 2020
    Lecture 4: Graph Search, Feb 4, 2020
    Presentation Lab 1: Search, Feb 9, 2020
    Lecture 6: Informed Search, Feb 11, 2020
    Lecture 7: Adversarial Search, Feb 16, 2020
    Lecture 8: Monte Carlo Tree Search, Feb 18, 2020
    Presentation Lab 2: MCTS, Feb 23, 2020
    Lecture 10: Logic, Feb 25, 2020
    Lecture 11: Logic: Implementation and Actions, Mar 2, 2020
    Lecture 12: Planning, Mar 4, 2020
    Lecture 13: PDDL, Mar 9, 2020
    Lecture 14: Applications of Logic, Mar 11, 2020
    Lecture 15: Review, Mar 16, 2020
    Presentation Lab 3: Planning, Mar 23, 2020
    Lecture 17: Machine Learning, Mar 25, 2020
    Lecture 18: Reinforcement Learning, Apr 6, 2020
    Lecture 19: Supervised Learning, Apr 8, 2020
    Lecture 20: Neural Networks, Apr 13, 2020
    Lecture 21: Neural Networks in PyTorch, Apr 15, 2020
    Lecture 22: Generative Adversarial Networks, Apr 20, 2020
    Presentation Lab 4: Generative Adversarial Networks, Apr 22, 2020
    Lecture 24: Advanced Neural Networks, Apr 27, 2020
    Lecture 25: Deep Q Learning, Apr 29, 2020
    Lecture 26: Ethical Considerations, May 4, 2020
    Lecture 27: AI and Humans, May 6, 2020
    Lecture 28: Conclusion, May 11, 2020
    Lecture 29: Review, May 13, 2020
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