Shariq Iqbal - RankMe

21 papers A* 6A 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies. CoRR Han Zhou, Xingchen Wan, Ruoxi Sun, Hamid Palangi, Shariq Iqbal, Ivan Vulic, Anna Korhonen, Sercan Ö. Arik
2025	A*	`conf`	Training Language Models to Self-Correct via Reinforcement Learning. ICLR Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D. Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M. Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal M. P. Behbahani, Aleksandra Faust
2024	J	`jnl`	Training Language Models to Self-Correct via Reinforcement Learning. CoRR Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D. Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M. Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal M. P. Behbahani, Aleksandra Faust
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	Faster sorting algorithms discovered using deep reinforcement learning. Nat. Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, A. Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver
2022	A*	`conf`	ALMA: Hierarchical Learning for Composite Multi-Agent Tasks. NeurIPS Shariq Iqbal, Robby Costales, Fei Sha
2022	J	`jnl`	ALMA: Hierarchical Learning for Composite Multi-Agent Tasks. CoRR Shariq Iqbal, Robby Costales, Fei Sha
2022	A*	`conf`	Possibility Before Utility: Learning And Using Hierarchical Affordances. ICLR Robby Costales, Shariq Iqbal, Fei Sha
2022	J	`jnl`	Possibility Before Utility: Learning And Using Hierarchical Affordances. CoRR Robby Costales, Shariq Iqbal, Fei Sha
2021	A*	`conf`	Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. ICML Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Boehmer, Shimon Whiteson, Fei Sha
2021	A	`conf`	When MAML Can Adapt Fast and How to Assist When It Cannot. AISTATS Sébastien M. R. Arnold, Shariq Iqbal, Fei Sha
2020	J	`jnl`	AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. CoRR Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha
2020	A*	`conf`	Toward Sim-to-Real Directional Semantic Grasping. ICRA Shariq Iqbal, Jonathan Tremblay, Andy Campbell, Kirby Leung, Thang To, Jia Cheng, Erik Leitch, Duncan McKay, Stan Birchfield
2019	A*	`conf`	Actor-Attention-Critic for Multi-Agent Reinforcement Learning. ICML Shariq Iqbal, Fei Sha
2019	J	`jnl`	Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. CoRR Shariq Iqbal, Fei Sha
2019	J	`jnl`	Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning. CoRR Sébastien M. R. Arnold, Shariq Iqbal, Fei Sha
2019	J	`jnl`	Directional Semantic Grasping of Real-World Objects: From Simulation to Reality. CoRR Shariq Iqbal, Jonathan Tremblay, Thang To, Jia Cheng, Erik Leitch, Andy Campbell, Kirby Leung, Duncan McKay, Stan Birchfield
2018	J	`jnl`	Actor-Attention-Critic for Multi-Agent Reinforcement Learning. CoRR Shariq Iqbal, Fei Sha
2018	J	`jnl`	Mobile Gaze Mapping: A Python package for mapping mobile gaze data to a fixed target stimulus. J. Open Source Softw. Jeff MacInnes, Shariq Iqbal, John M. Pearson, Elizabeth N. Johnson
2017	J	`jnl`	Learning to Draw Dynamic Agent Goals with Generative Adversarial Networks. CoRR Shariq Iqbal, John M. Pearson