Accepted Papers

Spotlight Presentation

Reevaluating Policy Gradient Methods for Imperfect-Information Games

Max Rudolph, Nathan Lichtlé, Sobhan Mohammadpour, Alexandre Bayen, J Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota

Who is Helping Whom? Analyzing Inter-dependencies to Evaluate Zero-Shot Cooperation in Teams

Upasana Biswas, Vardhan Palod, Siddhant Bhambri, Subbarao Kambhampati

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork

Caroline Wang, Arrasy Rahman, Jiaxun Cui, Yoonchang Sung, Peter Stone

Efficient Management of Day-Ahead Energy Markets via Multi-Agent Reinforcement Learning - a Hybrid Model Case Study

Matan Levy, Sarah Keren, Itay Segev, Alexander Tuisov

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning

Koorosh Moslemi, Chi-Guhn Lee

Poster Presentation

Learning Collusion in Episodic, Inventory-Constrained Markets

Paul Friedrich, Barna Pásztor, Giorgia Ramponi

Dynamic Mean-Field Control for Network MDPs with Exogenous Demand

Botao Ye, Hengquan Guo, Weichang Wang, Xin Liu

Assistax: A Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics

Leonard Hinckeldey, Elliot Fosong, Elle Miller, Rimvydas Rubavicius, Trevor McInroe, Patricia Wollstadt, Christiane B. Wiebel-Herboth, Subramanian Ramamoorthy, Stefano V. Albrecht

Information and Contract Design for Repeated Interactions between Agents with Misaligned Incentives

Nanda Kishore Sreenivas, Kate Larson

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL

Kale-ab Tessera, Arrasy Rahman, Amos Storkey, Stefano V. Albrecht

Multi-Agent Matrix Games with Individual learners: How Exploration-Exploitation Strategies Impact the Emergence of Coordination

Julien Armand, Tommy Chien-Hsuan Lin, Maxime Heuillet, Audrey Durand

Learning to Negotiate via Voluntary Commitment

Shuhui Zhu, Baoxiang Wang, Sriram Ganapathi Subramanian, Pascal Poupart

Robust Coordination under Misaligned Communication via Power Regularization

Nancirose G Piazza, Amirhossein Karimi, Behnia Soleymani, Vahid Behzadan, Stefan Sarkadi

Encoding Goals as Graphs: Structured Objectives for Scalable Cooperative Multi-Agent Reinforcement Learning

Alessandro Amato, Raffaele Galliera, K. Brent Venable, Niranjan Suri

Networked Communication for Decentralised Cooperative Agents in Mean-Field Control

Patrick Benjamin, Alessandro Abate

Multi-agent Markov Entanglement

Shuze Chen, Tianyi Peng

Decentralized Fire Seeking MARL UAVs

Gaganpreet Jhajj, Tojoarisoa Rakotoaritina, Fuhua Lin

Reconciling Set-Valued Policy & Dead-End Discovery in RL: An Empirical Analysis

Sixing Wu, Shengpu Tang

Principled Learning-to-Communicate in Cooperative MARL: An Information-Structure Perspective

Xiangyu Liu, Haoyi You, Kaiqing Zhang

Towards Spontaneous Cooperation in Multi-Agent Reinforcement Learning using Explicit Goal Recognition

Kirin Godhwani, Adam S R Parker, Matthew E. Taylor, William Yeoh, Reuth Mirsky

The challenge of hidden gifts in multi-agent reinforcement learning

Dane Malenfant, Blake Aaron Richards

Wasserstein-Barycenter Consensus for Cooperative Multi-Agent Reinforcement Learning

Ali Baheri

Towards Sustainable Investment Policies Informed by Opponent Shaping

Juan Agustin Duque, Razvan Ciuca, Ayoub Echchahed, Hugo Larochelle, Aaron Courville