Agent Societies
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games Fanqi Kong 2, 1 Yizhe Huang
Real-world multi-agent scenarios often involve mixed motives, demanding altruistic agents capable of self-protection against potential exploitation.
N-Agent Ad Hoc Teamwork
Current approaches to learning cooperative multi-agent behaviors assume relatively restrictive settings.
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators
We provide theoretical guarantees for CBPR's rapid convergence to the optimal policy once human partners alter their policies.
Learning Distinguishable Trajectory Representation with Contrastive Loss
We implement CTR on top of QMIX and evaluate its performance in various cooperative multi-agent tasks.
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang
The significant difference between the deployment-time partners' distribution and the training partners' distribution determined by the
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Figure 1: Complex decision problems that require a good understanding of the environment's