Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning.
Julian BernhardStefan PollokAlois C. KnollPublished in: IV (2019)
Keyphrases
- risk sensitive
- inherent uncertainty
- reinforcement learning
- model free
- optimal control
- markov decision processes
- control policies
- reinforcement learning algorithms
- function approximation
- markov decision problems
- utility function
- temporal difference
- dynamic programming
- decision theoretic
- markov decision chains
- genetic algorithm
- action space
- partially observable markov decision processes
- real robot
- learning algorithm