Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth

Table 2

Comparative analysis results for data inputs.

Metrics	DRL	PPO-RL	TEM-BPNN	ST-CNN	RNN	TAR-DL + IoT	ORDAA
Improvement (%)	32.68	39.45	43.94	46.34	53.45	52.87	62.126
Contribution detection	0.563	0.593	0.635	0.689	0.699	0.705	0.7659
Data analysis (/Input)	0.832	0.878	0.852	0.874	0.893	0.907	0.9476
Summary (/Input)	316	425	556	612	702	787	1008
Analysis time (min)	9.42	8.43	7.43	6.28	5.93	4.28	2.414

Findings: the proposed ORDAA maximizes improvement, contribution detection, data analysis, and summary by 9.46%, 13.49%, 8.73%, and 7.58%, respectively. It reduces the analysis time by 10.93%.