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...
Published 10/05/24
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...
Published 09/29/24