22 citations · 34 across the 25 of their papers we have counts for
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cs.LG2022
How Does Return Distribution in Distributional Reinforcement Learning Help Optimization?
Ke Sun, Bei Jiang, Linglong Kong
Distributional reinforcement learning, which focuses on learning the entire return distribution instead of only its expectation in standard RL, has demonstrated remarkable success…
cs.LG2022
Distributional Reinforcement Learning with Regularized Wasserstein Loss
Ke Sun, Yingnan Zhao, Wulong Liu +2
The empirical success of distributional reinforcement learning (RL) highly relies on the choice of distribution divergence equipped with an appropriate distribution representation.…