Qian Lin

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

2018 · arXiv (Cornell University)

In this paper, we propose an additionsubtraction twin-gated recurrent network (ATR) to simplify neural machine translation. The recurrent units of ATR are heavily simplified to have the smallest number of weight matrices among units of …

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Offline Multi-Agent Reinforcement Learning (MARL) is an emerging field that aims to learn optimal multi-agent policies from pre-collected datasets. Compared to single-agent case, multi-agent setting involves a large joint state-action space and coupled behaviors of …