Alice Gao

- Assistant Professor, Teaching Stream at the University of Toronto.
- Teaching Artificial Intelligence and Machine Learning.
- Passionate about CS Education Research.

L23: Mixed Strategy Nash Equilibrium Question Slides 19-20
L23: Mixed Strategy Nash Equilibrium Question Slides 19-20
L23: Mixed Strategy Nash Equilibrium Part 2
L23: Mixed Strategy Nash Equilibrium Part 2
L23: Mixed Strategy Nash Equilibrium Part 1
L23: Mixed Strategy Nash Equilibrium Part 1
L23: Pareto Optimal Outcomes of the Prisoner's Dilemma Game Question Slide 11
L23: Pareto Optimal Outcomes of the Prisoner's Dilemma Game Question Slide 11
L23: Nash Equilibrium of the Prisoner's Dilemma Game Question Slide 11
L23: Nash Equilibrium of the Prisoner's Dilemma Game Question Slide 11
L23: Dominant Strategy Equilibrium of the Prisoner's Dilemma Game Question Slide 9
L23: Dominant Strategy Equilibrium of the Prisoner's Dilemma Game Question Slide 9
L23: The Prisoner's Dilemma Game
L23: The Prisoner's Dilemma Game
L23: Pareto Optimality
L23: Pareto Optimality
L22: The Nash Equilibrium Question Slide 30
L22: The Nash Equilibrium Question Slide 30
L22: The Nash Equilibrium
L22: The Nash Equilibrium
L22: Dominant Strategy Equilibrium Question Slide 26
L22: Dominant Strategy Equilibrium Question Slide 26
L22: Dominant Strategy Equilibrium Part 3
L22: Dominant Strategy Equilibrium Part 3
L22: Dominant Strategy Equilibrium Part 1
L22: Dominant Strategy Equilibrium Part 1
L22: Dominant Strategy Equilibrium Question Slide 22
L22: Dominant Strategy Equilibrium Question Slide 22
L22: Dominant Strategy Equilibrium Part 2
L22: Dominant Strategy Equilibrium Part 2
L22: Applications of Game Theory
L22: Applications of Game Theory
L22: Introducing Game Theory
L22: Introducing Game Theory
L21: The Q-Learning Algorithm
L21: The Q-Learning Algorithm
L21: Temporal Difference Learning
L21: Temporal Difference Learning
L21: Properties of the Q-Learning Algorithm
L21: Properties of the Q-Learning Algorithm
L20: Introducing Reinforcement Learning and the Passive ADP Algorithm
L20: Introducing Reinforcement Learning and the Passive ADP Algorithm
L20: Passive ADP Example
L20: Passive ADP Example
L20: Active ADP Example
L20: Active ADP Example
L19: Value Iteration Examples and Observations
L19: Value Iteration Examples and Observations
L19: Policy Iteration Example
L19: Policy Iteration Example
L19: The Policy Iteration Algorithm
L19: The Policy Iteration Algorithm
L19: Introducing Policy Iteration
L19: Introducing Policy Iteration
L19: The Value Iteration Algorithm
L19: The Value Iteration Algorithm
L19: Introducing the Bellman Equations
L19: Introducing the Bellman Equations
L18: Solving for the Optimal Policy Question Slide 8
L18: Solving for the Optimal Policy Question Slide 8