Deep Ensemble Reinforcement Learning with Multiple Deep Deterministic Policy Gradient Algorithm

Table 1

Performance comparison of subpolicies and the aggregated policy.

Policy	Episodes	Total reward	Average reward
Subpolicy1	20	720.69	36.03
Subpolicy2	20	538.28	26.91
Subpolicy3	20	463.98	23.20
Aggregated policy	20	829.17	41.46