Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning. - Georgios Papoudakis; Filippos Christianos; Arrasy Rahman; Stefano V. Albrecht (CoRR, 2019)

Open Ad Hoc Teamwork using Graph-based Policy Learning. - Arrasy Rahman; Niklas Höpner; Filippos Christianos; Stefano V. Albrecht (CoRR, 2020)

Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. - Filippos Christianos; Georgios Papoudakis; Arrasy Rahman; Stefano V. Albrecht (ICML, 2021)

Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning. - Arrasy Rahman; Niklas Höpner; Filippos Christianos; Stefano V. Albrecht (ICML, 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 (IROS, 2021)

A Survey of Ad Hoc Teamwork Research. - Reuth Mirsky; Ignacio Carlucho; Arrasy Rahman; Elliot Fosong; William Macke; Mohan Sridharan; Peter Stone 001; Stefano V. Albrecht (EUMAS, 2022)

Deep reinforcement learning for multi-agent interaction. - Ibrahim H. Ahmed 006; Cillian Brewitt; Ignacio Carlucho; Filippos Christianos; Mhairi Dunion; Elliot Fosong; Samuel Garcin; Shangmin Guo; Balint Gyevnar; Trevor McInroe; Georgios Papoudakis; Arrasy Rahman; et al. (AI Commun., 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 001; 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)

Few-Shot Teamwork. - Elliot Fosong; Arrasy Rahman; Ignacio Carlucho; Stefano V. Albrecht (CoRR, 2022)

Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates. - Arrasy Rahman; Elliot Fosong; Ignacio Carlucho; Stefano V. Albrecht (CoRR, 2022)

Learning Complex Teamwork Tasks using a Sub-task Curriculum. - Elliot Fosong; Arrasy Rahman; Ignacio Carlucho; Stefano V. Albrecht (CoRR, 2023)

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. - Arrasy Rahman; Jiaxun Cui; Peter Stone 001 (CoRR, 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)

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)

Learning Complex Teamwork Tasks using a Given Sub-task Decomposition. - Elliot Fosong; Arrasy Rahman; Ignacio Carlucho; Stefano V. Albrecht (AAMAS, 2024)

N-agent Ad Hoc Teamwork. - Caroline Wang; Arrasy Rahman; Ishan Durugkar; Elad Liebman; Peter Stone 001 (NeurIPS, 2024)

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL. - Kale-ab Abebe Tessera; Arrasy Rahman; Stefano V. Albrecht (CoRR, 2024)

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork. - Caroline Wang; Arrasy Rahman; Jiaxun Cui; Yoonchang Sung; Peter Stone 001 (CoRR, 2025)

Sequence Modeling for N-Agent Ad Hoc Teamwork. - Caroline Wang; Di Yang Shi; Elad Liebman; Ishan Durugkar; Arrasy Rahman; Peter Stone 001 (CoRR, 2025)

A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon. - Cameron Angliss; Jiaxun Cui; Jiaheng Hu; Arrasy Rahman; Peter Stone 001 (CoRR, 2025)