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Supervised Learning
Unsupervised Learning
Deep Learning
Reinforcement Learning
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Foundations & Concepts
29
Core Vocabulary
9
Markov Decision Processes
8
Value Functions
6
Returns & Rewards
6
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RL Paradigms
15
Learning Approaches
5
Problem Settings
5
Multi-Agent RL
5
Exploration vs Exploitation
9
Multi-Armed Bandits
7
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Tabular Methods
24
Dynamic Programming
5
Monte Carlo Methods
6
Temporal Difference Learning
7
Tabular Control Algorithms
6
Function Approximation
7
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Deep Reinforcement Learning
25
Value-Based Deep RL
7
Policy Gradient Methods
7
Actor-Critic
4
Trust Region & Modern Algorithms
7
Model-Based RL
8
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Reward Engineering & Imitation
9
Reward Design
4
Imitation Learning
5
Extensions & Variants
9
RL Frameworks & Environments
8
Applications
9
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Game AI (Chess, Go, Atari)
Robotics Control
Autonomous Driving
Adaptive Traffic Signal Control
Energy Grid Optimization
Supply Chain Optimization
Resource Allocation (RL)
Portfolio Optimization
Recommendation Systems (RL)
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