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Muhammad Rahman

The University of Texas at Austin

mas: coordination and collaboration

mas: multiagent systems under uncertainty

mas: multiagent learning

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SHORT BIO

Dr Muhammad Arrasy Rahman is a postdoctoral research fellow at Professor Peter Stone's research group at UT Austin. He previously obtained his PhD in 2022 from the University of Edinburgh, where he was advised by Dr Stefano Albrecht. His research interests encompass the applications of deep reinforcement learning for ad hoc teamwork and multiagent systems. Rahman has previously published his works in top-tier venues in AI, machine learning, and robotics such as JMLR, TMLR, ICML & IROS.

Presentations

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents | VIDEO

Muhammad Rahman and 2 other authors

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