most citedDensity-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.RO2021★ 2 cited

Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards

Deyu Yang, Hanbo Zhang, Xuguang Lan +1

Multi-goal reinforcement learning (RL) aims to qualify the agent to accomplish multi-goal tasks, which is of great importance in learning scalable robotic manipulation skills. Howe…