Reinforcement Learning Comprehensive Examination

This document provides a comprehensive technical overview of Reinforcement Learning (RL), ranging from foundational concepts to advanced modern architectures. It is structured as…

Flashcards

Questions

Study Notes

Chapters

Harshul Nanda

·2mo ago·

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Course Chapters

10 chapters · 90 exercises

RL Algorithm Taxonomy4 exercises

The Exploration-Exploitation Trade-off5 exercises

Optimism and Upper Confidence Bounds7 exercises

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Reinforcement Learning Comprehensive Examination

Course Chapters

Foundations and Multi-Armed Bandits

Markov Decision Processes and Dynamic Programming

Deep Q-Learning and Overestimation

Policy Gradients and Importance Sampling

Advanced Actor-Critic and Soft Actor-Critic

Search, Planning, and Model-Based RL

Global and Black-Box Optimization

Imitation Learning

Offline Reinforcement Learning

Generative Models and Movement Primitives

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