Arrasy Rahman

According to our database, Arrasy Rahman authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon.

Cameron Angliss, Jiaxun Cui, Jiaheng Hu, Arrasy Rahman, Peter Stone

CoRR, June, 2025

Sequence Modeling for N-Agent Ad Hoc Teamwork.

Caroline Wang, Di Yang Shi, Elad Liebman, Ishan Durugkar, Arrasy Rahman, Peter Stone

CoRR, June, 2025

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

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

CoRR, May, 2025

2024

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL.

Kale-ab Abebe Tessera, Arrasy Rahman, Stefano V. Albrecht

CoRR, 2024

N-agent Ad Hoc Teamwork.

Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Complex Teamwork Tasks using a Given Sub-task Decomposition.

Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity.

Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht

Trans. Mach. Learn. Res., 2023

A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning.

Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht

J. Mach. Learn. Res., 2023

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents.

Arrasy Rahman, Jiaxun Cui, Peter Stone

CoRR, 2023

Learning Complex Teamwork Tasks using a Sub-task Curriculum.

Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht

CoRR, 2023

2022

Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates.

Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht

CoRR, 2022

Few-Shot Teamwork.

Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht

CoRR, 2022

Cooperative Marine Operations via Ad Hoc Teams.

Ignacio Carlucho, Arrasy Rahman, William Ard, Elliot Fosong, Corina Barbalata, Stefano V. Albrecht

CoRR, 2022

A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems.

Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht

CoRR, 2022

Deep reinforcement learning for multi-agent interaction.

Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht

AI Commun., 2022

A Survey of Ad Hoc Teamwork Research.

Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht

Proceedings of the Multi-Agent Systems - 19th European Conference, 2022

2021

Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles.

Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning.

Arrasy Rahman, Niklas Höpner, Filippos Christianos, Stefano V. Albrecht

Proceedings of the 38th International Conference on Machine Learning, 2021

Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing.

Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Open Ad Hoc Teamwork using Graph-based Policy Learning.

Arrasy Rahman, Niklas Höpner, Filippos Christianos, Stefano V. Albrecht

CoRR, 2020

2019

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning.

Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht

CoRR, 2019