Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving.
Gabriel KalweitMaria HügleMoritz WerlingJoschka BoedeckerPublished in: CoRR (2020)
Keyphrases
- model free
- reinforcement learning
- autonomous driving
- reinforcement learning algorithms
- function approximation
- temporal difference
- grand challenge
- policy iteration
- reinforcement learning methods
- rl algorithms
- state space
- dynamic programming
- learning algorithm
- policy evaluation
- learning problems
- pattern recognition
- real time
- vision algorithms
- urban traffic
- machine learning