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Affinity Event
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Enhancing Language Models’ Performance on Mathematical Datasets A Multi-Agent Approach
Santhoshi Ravichandran · Ashwini Rajaram · Priya Nama Venkatesh
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Workshop
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A Behavioral Economics Approach to Principled Multi-Agent Reinforcement Learning
Eric Mazumdar · Kishan Panaganti · Laixi Shi
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Poster
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Wed 11:00
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No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
Mengxiao Zhang · Ramiro Deo-Campo Vuong · Haipeng Luo
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Poster
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Wed 11:00
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Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems
Dingbang Liu · Shohei Kato · Wen Gu · Fenghui Ren · Jun Yan · Guoxin Su
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Workshop
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Communication via Shared Memory Improves Multi-agent Pathfinding
Alsu Sagirova · Yury Kuratov · Mikhail Burtsev
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Workshop
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Compositional Communication with LLMs and Reasoning about Chemical Structures
Sarathkrishna Swaminathan · Dmitry Zubarev
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Workshop
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AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
Ana Nunez · Nafis Tanveer Islam · Sumit Jha · peyman najafirad
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Poster
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Wed 16:30
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Maximizing utility in multi-agent environments by anticipating the behavior of other learners
Angelos Assos · Yuval Dagan · Constantinos Daskalakis
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Poster
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Wed 11:00
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Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
John L Zhou · Weizhe Hong · Jonathan Kao
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Workshop
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DepsRAG: Towards Agentic Reasoning and Planning for Software Dependency Management
Mohannad Alhanahnah · Yazan Boshmaf
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Workshop
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An Efficient Open World Benchmark for Multi-Agent Reinforcement Learning
Eric Ye · Natasha Jaques
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Poster
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Wed 11:00
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BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
Matteo Bettini · Amanda Prorok · Vincent MOENS
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