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Bibliography

Table of contents

RL Diagram

Optimal Control 🎯

Dynamic Programming

Tree-Based Planning

Control Theory

Model Predictive Control

Safe Control 🔒

Robust Control

Risk-Averse Control

Value-Constrained Control

State-Constrained Control and Stability

Uncertain Dynamical Systems

Game Theory ♠️

Sequential Learning 👞

Multi-Armed Bandit 🎰

Contextual

Best Arm Identification 💪

Black-box Optimization

Reinforcement Learning 🤖

Theory 📚

Generative Model

Policy Gradient

Linear Systems

Value-based 📈

Policy-based 💪

Policy gradient

Actor-critic

Derivative-free

Model-based 🗺️

Exploration

Hierarchy and Temporal Abstraction 🕑

Partial Observability 👁️

Transfer 🌎

Multi-agent 👬

Representation Learning

Offline

Other

Learning from Demonstrations 🎓

Imitation Learning

Applications to Autonomous Driving 🚗

Inverse Reinforcement Learning

Applications to Autonomous Driving 🚕

Motion Planning 🏃‍♂️

Search

Sampling

Optimization

Reactive

Architecture and applications

About

References on Optimal Control, Reinforcement Learning and Motion Planning

Topics

Resources

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