most citedAdaptive trajectory-constrained exploration strategy for deep reinforcement learning

12 citations · 12 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 12 cited

Adaptive trajectory-constrained exploration strategy for deep reinforcement learning

Guojian Wang, Faguo Wu, Xiao Zhang +2

Deep reinforcement learning (DRL) faces significant challenges in addressing the hard-exploration problems in tasks with sparse or deceptive rewards and large state spaces. These c…