Deep Ensemble Reinforcement Learning with Multiple Deep Deterministic Policy Gradient Algorithm

Table 5

Comparison of aggregated policies with different numbers of subpolicies.

Number of subpolicies	Training time (hours)	Total steps	Total reward	Pass Aalborg	Pass CG1	Pass CG2
3	22.84	5000	331086.10	Yes	Yes	Yes
5	24.40	5000	360804.43	Yes	Yes	Yes
10	24.16	5000	303678.65	Yes	Yes	Yes
15	22.09	771	47121.87	Yes	No	Yes
20	20.49	567	34343.05	Yes	No	Yes
30	21.74	1541	97146.37	Yes	No	Yes