Arrasy Rahman - RankMe

26 papers A* 3A 2C 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon. CoRR Cameron Angliss, Jiaxun Cui, Jiaheng Hu, Arrasy Rahman, Peter Stone
2025	J	`jnl`	ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork. CoRR Caroline Wang, Arrasy Rahman, Jiaxun Cui, Yoonchang Sung, Peter Stone
2025	J	`jnl`	Sequence Modeling for N-Agent Ad Hoc Teamwork. CoRR Caroline Wang, Di Yang Shi, Elad Liebman, Ishan Durugkar, Arrasy Rahman, Peter Stone
2024	J	`jnl`	HyperMARL: Adaptive Hypernetworks for Multi-Agent RL. CoRR Kale-ab Abebe Tessera, Arrasy Rahman, Stefano V. Albrecht
2024	A	`conf`	Learning Complex Teamwork Tasks using a Given Sub-task Decomposition. AAMAS Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
2024	J	`jnl`	N-Agent Ad Hoc Teamwork. CoRR Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
2024	A*	`conf`	N-agent Ad Hoc Teamwork. NeurIPS Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
2023	J	`jnl`	A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. J. Mach. Learn. Res. Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht
2023	J	`jnl`	Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity. Trans. Mach. Learn. Res. Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht
2023	J	`jnl`	Learning Complex Teamwork Tasks using a Sub-task Curriculum. CoRR Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
2023	J	`jnl`	Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. CoRR Arrasy Rahman, Jiaxun Cui, Peter Stone
2022	J	`jnl`	A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. CoRR Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht
2022	C	`conf`	A Survey of Ad Hoc Teamwork Research. EUMAS Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
2022	J	`jnl`	A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. CoRR Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
2022	J	`jnl`	Cooperative Marine Operations via Ad Hoc Teams. CoRR Ignacio Carlucho, Arrasy Rahman, William Ard, Elliot Fosong, Corina Barbalata, Stefano V. Albrecht
2022	J	`jnl`	Deep Reinforcement Learning for Multi-Agent Interaction. CoRR 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
2022	J	`jnl`	Deep reinforcement learning for multi-agent interaction. AI Commun. 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
2022	J	`jnl`	Few-Shot Teamwork. CoRR Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
2022	J	`jnl`	Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates. CoRR Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht
2021	A	`conf`	Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. IROS Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
2021	J	`jnl`	Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. CoRR Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
2021	A*	`conf`	Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. ICML Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht
2021	J	`jnl`	Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. CoRR Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht
2021	A*	`conf`	Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning. ICML Arrasy Rahman, Niklas Höpner, Filippos Christianos, Stefano V. Albrecht
2020	J	`jnl`	Open Ad Hoc Teamwork using Graph-based Policy Learning. CoRR Arrasy Rahman, Niklas Höpner, Filippos Christianos, Stefano V. Albrecht
2019	J	`jnl`	Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning. CoRR Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht