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Quantitative Decisions in Life, Love, and Finance
Unit 1. Simple Decisions
Utility Functions and Choices
Marginal Utility, Indifference and Trades
Constrained Utility Maximization
Unit 2. Uncertain Decisions
Rational Uncertain Decisions
Risk and Risk Aversion
Utility maximization, contingencies and information
Games and Multiagent Reasoning
Unit 3. Sequential Decisions
Understanding Markov Chains
Markov Decision Processes
Making Sequential Decisions
Value and Policy Evaluation
Monte Carlo Tree Search
Unit 4. Machine Learning and Decisions
Multiarm Bandit Problems
Thompson Sampling
Reinforcement Learning
Model Based Reinforcement Learning
Model Free Reinforcement Learning
Imitation Learning
Behavioral cloning
Bayesian Descision Rules
Appendices
Random variables and probability
References
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Model Based Reinforcement Learning
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