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References on Optimal Control, Reinforcement Learning and Motion Planning

Bibliography

Table of contents

RL Diagram

Optimal Control

Dynamic Programming

Approximate Planning

Control Theory

Model Predictive Control

Safe Control

Robust Control

Risk-Averse Control

Constrained Control

Uncertain Dynamical Systems

Sequential Learning

Multi-Armed Bandit

Reinforcement Learning

Value-based

Policy-based

Policy gradient

Actor-critic

Derivative-free

Model-based

Exploration

Hierarchy and Temporal Abstraction

Partial Observability

Transfer

Multi-agent

Representation Learning

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