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by Chris Callison-Burch
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- Oct 22, 202414 min
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.
- Oct 5, 202416 min
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.
- Sep 29, 202413 min
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.
- Sep 29, 202411 min
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.
- Sep 29, 202410 min
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.
- Sep 28, 202412 min
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.
- Sep 28, 202412 min
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.
- Sep 28, 202419 min
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.
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