Explorez tous les épisodes du podcast The CIS 5210 Podcast
| Titre | Date | Durée | |
|---|---|---|---|
| CIS 5210 - Module 8 - Reinforcement Learning | 22 oct. 2024 | 00:14:30 | |
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. | |||
| CIS 5210 - Module 7 - Markov Decision Processes | 05 oct. 2024 | 00:16:42 | |
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. | |||
| CIS 5210 - Module 6 - Knowledge-Based Agents and Logical Reasoning | 29 sept. 2024 | 00:13:45 | |
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. | |||
| CIS 5210 - Module 5 - CSPs | 29 sept. 2024 | 00:11:00 | |
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. | |||
| CIS 5210 - Module 4 - Adversarial Search | 29 sept. 2024 | 00:10:29 | |
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. | |||
| CIS 5210 - Module 3 - Informed Search | 28 sept. 2024 | 00:12:45 | |
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. | |||
| CIS 5210 - Module 2 - Uninformed Search | 28 sept. 2024 | 00:12:53 | |
This episode explores uninformed search algorithms like BFS, DFS, and iterative deepening search. Disclosure: This episode was generated using NotebookLM. | |||
| CIS 5210 - Module 1 - Rational Agents | 28 sept. 2024 | 00:19:06 | |
This episode explores rational agents in AI, covering:
Disclosure: This episode was generated using NotebookLM. | |||