AAMAS

Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization

Seongmin Kim, Giseung Park, Woojun Kim, Jeewon Jeon, Seungyul Han*, and Youngchul Sung

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems

Chuanbo Hua*, Federico Berto*, Jiwoo Son, Seunghyun Kang, Changhyun Kwon, Jinkyoo Park

A variational approach to mutual information-based coordination for multi-agent reinforcement learning

Woojun Kim, Whiyoung Jung, Myungsik Cho, and Youngchul Sung

Parameter Sharing with network pruning for scalable multi-agent deep reinforcement learning

Woojun Kim and Youngchul Sung

SchelduleNet: Learning to solve multi-robot scheduling problems with reinforcement learning

Junyoung Park, Changhyun Kwon, and Jinkyoo Park

Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning

Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun