Lectures related to Asset Selling: Optimal Revenue Policy

Dynamic Programming: Optimal Decision Making

Explores dynamic programming for optimizing decision-making processes over time, using real-world examples like oil extraction and stock trading.

The Marriage Problem

Explores the marriage problem, modeling the process as a controlled stochastic process with dynamic programming algorithms to find the optimal policy for accepting bachelors.

Controlled Stochastic Processes

Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.

Controlled Stochastic Processes

Explores controlled stochastic processes, dynamic programming, and the Machine Replacement Problem.

Markov Decision Processes: Foundations of Reinforcement Learning

Covers Markov Decision Processes, their structure, and their role in reinforcement learning.

Optimal Stopping Problems: Theory and Applications

Covers optimal stopping problems in applied probability and stochastic processes, focusing on theory and practical applications.

Dynamic Programming: Optimal Control

Explores Dynamic Programming for optimal control, focusing on stability, stationary policy, and recursive solutions.

Dynamic Programming: Optimal Control

Explores Dynamic Programming for optimal control, covering machine replacement, Markov chains, control policies, and linear quadratic problems.

Asset Selling Problem

Explores the Asset Selling Problem to maximize long-term reward without a deadline.

The Marriage Problem

Explores the marriage problem, where a bride must strategically accept suitors to maximize her chances of selecting the best one.

Surprise, Curiosity and Reward: An Evolutionary Perspective

Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.

Infinite-Horizon Problems: Formulation & Complexity

Covers infinite-horizon problems in Applied Probability and Stochastic Processes.

Asset Selling Problems

Discusses asset selling problems and optimal selling policies based on market conditions and termination states.

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Producer Profit Maximization in Microeconomics

Explores profit maximization conditions, resource variation effects, expansion paths, and state interventions in microeconomics.

Universal Construction: Algorithm Explanation

Explores a simple universal construction algorithm using ConsentsObjects, highlighting its log-free nature and the uncertainty in operation termination.

Advanced Machine Learning: Discrete Reinforcement Learning

Introduces the basics of Reinforcement Learning, covering discrete states, actions, policies, value functions, MDPs, and optimal policies.

Assessing environmental goods and external costs: Road Safety

Explores the value of statistical life in road safety and environmental assessments.

Imperfect Competition: Cartels and Oligopoly

Explores imperfect competition, cartels, and oligopoly dynamics in markets, analyzing pricing strategies and market outcomes.

Optimal Distributed Control: Projected GD for Locally Optimal Controllers

Covers optimal distributed control using Gradient Descent to achieve locally optimal controllers in large-scale systems.