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20222025
most citedA Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment

9 citations · 19 across the 12 of their papers we have counts for

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2 papers · 1 filter

cs.MA2025

Multi-agent In-context Coordination via Decentralized Memory Retrieval

Tao Jiang, Zichuan Lin, Lihe Li +6

Large transformer models, trained on diverse datasets, have demonstrated impressive few-shot performance on previously unseen tasks without requiring parameter updates. This capabi…

stat.ML2025

Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design

Marcel Hedman, Desi R. Ivanova, Cong Guan +1

We develop a semi-amortized, policy-based, approach to Bayesian experimental design (BED) called Stepwise Deep Adaptive Design (Step-DAD). Like existing, fully amortized, policy-ba…