3 papers
cs.AI2026
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
Sangjun Bae, Yisak Park, Sanghyeon Lee +1
Communication is a key component in multi-agent reinforcement learning (MARL) for mitigating partial observability, yet prior approaches often rely on inefficient information excha…
cs.LG2026
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
Sunwoo Lee, Mingu Kang, Yonghyeon Jo +1
Cooperation is central to multi-agent reinforcement learning (MARL), yet learned coordination can be fragile when external perturbations disrupt inter-agent interactions. Prior rob…
cond-mat.mtrl-sci2025
Asymmetric Electronic Band Alignment and Potentially Enhanced Thermoelectric Properties in Phase-Separated Mg2X (X=Si,Ge,Sn) Alloys
Byungki Ryu, Samuel Foster, Eun-Ae Choi +8
The Mg2X (X=Si, Ge, Sn) based alloy is an eco-friendly thermoelectric material for mid-temperature applications. The Mg2Si1-xSnx and Mg2Ge1-xSnx alloys can be phase-separated into…