most citedMagnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

13 citations · 13 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 13 cited

Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

Hongyu Ding, Yuanze Tang, Qing Wu +3

Goal-conditioned reinforcement learning (RL) is an interesting extension of the traditional RL framework, where the dynamic environment and reward sparsity can cause conventional l…