The CIS 5210 Podcast

Chris Callison-Burch
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This is a podcast for the University of Pennsylvania’s Artificial Intelligence Course (CIS 5210). The episodes are automatically generated using NotebookLM by uploading Prof. Chris Callison-Burch’s lecture notes and lecture slides.

Episodes

  1. 10/22/2024

    CIS 5210 - Module 8 - Reinforcement Learning

    This episode explores reinforcement learning and its relationship to MDPs. Also mentioned: exploration v. exploitation, multi-arm bandits, model-free learning, q-learning. Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

    15 min

  2. 10/05/2024

    CIS 5210 - Module 7 - Markov Decision Processes

    This episode explores MDPs, covering stochastic environments, transition functions, reward functions, policies, value iteration, policy iteration, expected utility, finite vs. infinite horizons, discount factors, etc. Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

    17 min

  3. 09/29/2024

    CIS 5210 - Module 6 - Knowledge-Based Agents and Logical Reasoning

    This episode explores knowledge-based agents in AI, covering knowledge bases, inference, propositional logic, theorem proving, logical equivalence, resolution, conjunctive normal form (CNF), proof by contradiction, and distributed knowledge representation and reasoning. Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

    14 min

  4. 09/29/2024

    CIS 5210 - Module 5 - CSPs

    This episode explores constraint satisfaction problems (CSPs), covering variables, domains, constraints, backtracking search, heuristics, forward checking, constraint propagation, and arc consistency. Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

    11 min

  5. 09/29/2024

    CIS 5210 - Module 4 - Adversarial Search

    This episode explores adversarial search in game-playing AI, covering game formulation, minimax, game trees, evaluation functions, alpha-beta pruning and expectimax. Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

    10 min

  6. 09/28/2024

    CIS 5210 - Module 3 - Informed Search

    This episode explores informed search algorithms in AI, focusing on A* search. Key topics include: Importance of heuristics in guiding searches, and  the role of admissible heuristics and in optimal solutions. Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

    13 min

  7. 09/28/2024

    CIS 5210 - Module 2 - Uninformed Search

    This episode explores uninformed search algorithms like BFS, DFS, and iterative deepening search.  Disclosure: This episode was generated using NotebookLM.

    13 min

  8. 09/28/2024

    CIS 5210 - Module 1 - Rational Agents

    This episode explores rational agents in AI, covering: Philosophical foundations Historical context Task environments  Disclosure: This episode was generated using NotebookLM.

    19 min
  • 8 Episodes

About

This is a podcast for the University of Pennsylvania’s Artificial Intelligence Course (CIS 5210). The episodes are automatically generated using NotebookLM by uploading Prof. Chris Callison-Burch’s lecture notes and lecture slides.

Information

  • Creator
    Chris Callison-Burch
  • Years Active
    2K
  • Episodes
    8
  • Rating
    Clean
  • Copyright
    © Copyright 2024 All rights reserved.
  • Show Website
    The CIS 5210 Podcast