Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars.
Akash SinhaAntonio MacalusoMatthias KluschPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- function approximation
- markov decision processes
- multi agent
- state space
- temporal difference
- optimal policy
- reinforcement learning algorithms
- machine learning
- quantum computation
- autonomous driving
- quantum computing
- quantum mechanics
- model free
- learning algorithm
- dynamic programming
- action selection
- learning capabilities
- data sets
- deep learning
- quantum evolutionary algorithm
- probability ranking principle
- channel capacity
- policy search
- driver assistance systems
- multi agent reinforcement learning
- supervised learning
- reinforcement learning methods
- temporal difference learning
- markov decision process
- robot control
- transfer learning
- optimal control