Accepted Papers

Oral Presentation

Cooperative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning

Raffaele Galliera, K. Brent Venable, Niranjan Suri, Matteo Bassani

RACCOON: Regret-based Adaptive Curricula for Cooperation

Hannah Erlebach, Jonathan Cook

STA-RLHF: Stackelberg Aligned Reinforcement Learning with Human Feedback

Jacob Makar-Limanov, Arjun Prakash, Denizalp Goktas, Amy Greenwald, Nora Ayanian

Large Batch Sharing

Thibault Lahire

Honorable Mention

CoDreamer: Communication-Based Decentralised World Models

Edan Toledo

Communication-Efficient Algorithm for Asynchronous Multi-Agent Bandits

Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui

Poster Presentation

Optimal Task Generalisation in Multi-Agent Reinforcement Learning

Simon Rosen, Abdel Mfougouon Njupoun, Geraud Nangue Tasse, Steven James, Benjamin Rosman

Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning

Aditya Kapoor, Sushant Swamy, Kale-ab Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V Albrecht

Towards Cooperation and Fairness in Multi-Agent Reinforcement Learning

Jasmine Jerry Aloor, Siddharth Nayak, Sydney Dolan, Victor L Qin, Hamsa Balakrishnan

Towards Fair and Equitable Policy Learning in Cooperative Multi-Agent Reinforcement Learning

Umer Siddique, Peilang Li, Yongcan Cao

Opponent Transformer: Modeling Opponent Policies as a Sequence Problem

Conor Wallace, Umer Siddique, Yongcan Cao

Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning

Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu

Leveraging Cognitive Bias for Zero-Shot Human-AI Coordination

Shray Bansal, Jin Xu, Miguel Morales, Jonathan Streater, Ayanna Howard, Charles Lee Isbell

On the impact of lowering temperature on learning with behavior clones

Kenneth J. K. Ong

Towards Safety in Multi-agent Reinforcement Learning through Security and Privacy by Design

Kyle Tilbury, Bailey Kacsmar, Jesse Hoey

The Power in Communication: Power Regularization of Communication for Autonomy in Cooperative Multi-Agent Reinforcement Learning

Nancirose G Piazza, Vahid Behzadan, Stefan Sarkadi

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit

Mengfan Xu, Diego Klabjan

Human-Machine Cooperation through Human-Like Visual Search Model

Aditya Acharya, Leonardo Stella, Chris Baber, Andrew Howes

Coordination Machines for Minimizing Communication in Multi-Agent Reinforcement Learning

Jacob Heglund, Huy T Tran

Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Communication Costs

Lin Yang, Xuchuang Wang, Mohammad Hajiesmaili, Lijun Zhang, John C.S. Lui, Don Towsley

Human-compatible driving partners through data-regularized self-play reinforcement learning

Daphne Cornelisse, Eugene Vinitsky