Investigating the Effects of Hyperparameters in Quantum-Enhanced Deep Reinforcement Learning

Table 1

Quantum enhanced hybrid, quantum, and classical DRL concerning resource availability, information representation, applicable learning algorithm, and major application areas.

Ways of enhancing DRL	Agent	Environment	Information representation	Learning algorithm	Computational resource	Application area
Classical DRL	Classical	Classical	Bits	DNN, GBDT	Resource available	Broad application area
Hybrid C-Q DRL	Classical	Quantum	Bits and qubits	DNN + VQC	Limited resource	Area enhanced with partial QC advantage
	Quantum	Classical	Bits and qubits	DNN + VQC	Limited resources	Area enhanced with partial QC advantage
Pure quantum DRL	Quantum	Quantum	Qubits	Quantum algorithm	Limited resource	All areas which need QC advantage