Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning.
Julian BernhardStefan PollokAlois C. KnollPublished in: CoRR (2021)
Keyphrases
- risk sensitive
- inherent uncertainty
- reinforcement learning
- optimal control
- markov decision processes
- model free
- function approximation
- markov decision problems
- optimal policy
- utility function
- control policies
- state space
- temporal difference
- reinforcement learning algorithms
- machine learning
- policy iteration
- dynamic programming
- robot control
- partially observable
- action space
- planning problems
- multi agent
- real time
- markov decision chains