1.1k citations · 1.8k across the 20 of their papers we have counts for
1 paper · 1 filter
Machel Reid, Yutaro Yamada, Shixiang Shane Gu
Fine-tuning reinforcement learning (RL) models has been challenging because of a lack of large scale off-the-shelf datasets as well as high variance in transferability among differ…