31 citations · 67 across the 8 of their papers we have counts for
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cs.LG2021★ 2 cited
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL
Wonjoon Goo, Scott Niekum
The goal of offline reinforcement learning (RL) is to find an optimal policy given prerecorded trajectories. Many current approaches customize existing off-policy RL algorithms, es…
cs.LG2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov +2
We introduce Self-supervised Online Reward Shaping (SORS), which aims to improve the sample efficiency of any RL algorithm in sparse-reward environments by automatically densifying…