Reinforcement Learning

159 terms

Foundations & Concepts

29 terms

Core Vocabulary 9

Markov Decision Processes 8

Value Functions 6

Returns & Rewards 6

RL Paradigms

15 terms

Learning Approaches 5

Problem Settings 5

Multi-Agent RL 5

Exploration vs Exploitation

9 terms

Multi-Armed Bandits

7 terms

Tabular Methods

24 terms

Dynamic Programming 5

Monte Carlo Methods 6

Temporal Difference Learning 7

Tabular Control Algorithms 6

Function Approximation

7 terms

Deep Reinforcement Learning

25 terms

Value-Based Deep RL 7

Policy Gradient Methods 7

Actor-Critic 4

Trust Region & Modern Algorithms 7

Model-Based RL

8 terms

Reward Engineering & Imitation

9 terms

Reward Design 4

Imitation Learning 5

Extensions & Variants

9 terms

RL Frameworks & Environments

8 terms

Applications

9 terms