Tongzheng Ren

Reward Shaping via Meta-Learning

2019 · arXiv (Cornell University)

Reward shaping is one of the most effective methods to tackle the crucial yet challenging problem of credit assignment in Reinforcement Learning (RL). However, designing shaping functions usually requires much expert knowledge and hand-engineering, and …

Unsupervised Out-of-Domain Detection via Pre-trained Transformers

2021 · arXiv (Cornell University)

Deployed real-world machine learning applications are often subject to uncontrolled and even potentially malicious inputs. Those out-of-domain inputs can lead to unpredictable outputs and sometimes catastrophic safety issues. Prior studies on out-of-domain detection require in-domain …