References on Optimal Control, Reinforcement Learning and Motion Planning
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README.md
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README.md

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

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