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Bibliography

Table of contents

RL Diagram

Optimal Control 🎯

Dynamic Programming

Linear Programming

Tree-Based Planning

Control Theory

Model Predictive Control

Safe Control πŸ”’

Robust Control

Risk-Averse Control

Value-Constrained Control

State-Constrained Control and Stability

Uncertain Dynamical Systems

Game Theory ♠️

Sequential Learning πŸ‘ž

Multi-Armed Bandit 🎰

Contextual

Best Arm Identification πŸ’ͺ

Black-box Optimization ⬛

Reinforcement Learning πŸ€–

Theory πŸ“š

Generative Model

Policy Gradient

Linear Systems

Value-based πŸ“ˆ

Policy-based πŸ’ͺ

Policy gradient

Actor-critic

Derivative-free

Model-based πŸ—ΊοΈ

Exploration β›Ί

Hierarchy and Temporal Abstraction πŸ•‘

Partial Observability πŸ‘οΈ

Transfer 🌎

Multi-agent πŸ‘¬

Representation Learning

Offline

Other

Learning from Demonstrations πŸŽ“

Imitation Learning

Applications to Autonomous Driving πŸš—

Inverse Reinforcement Learning

Applications to Autonomous Driving πŸš•

Motion Planning πŸƒβ€β™‚οΈ

Search

Sampling

Optimization

Reactive

Architecture and applications

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