Towards Performance Benchmarking for Quantum Reinforcement Learning.
Volker ReersPublished in: GI-Jahrestagung (2023)
Keyphrases
- reinforcement learning
- function approximation
- learning algorithm
- optimal policy
- reinforcement learning algorithms
- quantum computing
- model free
- state space
- quantum inspired
- temporal difference
- quantum computation
- multi agent
- learning capabilities
- machine learning
- learning problems
- control problems
- quantum mechanics
- function approximators
- stochastic approximation
- quantum evolutionary algorithm
- robotic control
- real time
- markov decision processes
- transfer learning
- data sets
- reinforcement learning methods
- supervised learning
- multi agent reinforcement learning
- dynamic programming
- search algorithm
- decision trees
- knowledge base
- probability ranking principle