1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
On the Model-Misspecification in Reinforcement Learning
Yunfan Li, Lin Yang
The success of reinforcement learning (RL) crucially depends on effective function approximation when dealing with complex ground-truth models. Existing sample-efficient RL algorit…
cs.LG2022★ 1 cited
Model-based Offline Imitation Learning with Non-expert Data
Jeongwon Park, Lin Yang
Although Behavioral Cloning (BC) in theory suffers compounding errors, its scalability and simplicity still makes it an attractive imitation learning algorithm. In contrast, imitat…