Learning to Draw Dynamic Agent Goals with Generative Adversarial Networks. - Shariq Iqbal; John M. Pearson (CoRR, 2017)

Mobile Gaze Mapping: A Python package for mapping mobile gaze data to a fixed target stimulus. - Jeff MacInnes; Shariq Iqbal; John M. Pearson; Elizabeth N. Johnson (J. Open Source Softw., 2018)

Actor-Attention-Critic for Multi-Agent Reinforcement Learning. - Shariq Iqbal; Fei Sha (ICML, 2019)

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. - Shariq Iqbal; Fei Sha (CoRR, 2019)

Directional Semantic Grasping of Real-World Objects: From Simulation to Reality. - Shariq Iqbal; Jonathan Tremblay; Thang To; Jia Cheng; Erik Leitch; Andy Campbell; Kirby Leung; Duncan McKay; Stan Birchfield (CoRR, 2019)

Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning. - Sébastien M. R. Arnold; Shariq Iqbal; Fei Sha (CoRR, 2019)

Toward Sim-to-Real Directional Semantic Grasping. - Shariq Iqbal; Jonathan Tremblay; Andy Campbell; Kirby Leung; Thang To; Jia Cheng; Erik Leitch; Duncan McKay; Stan Birchfield (ICRA, 2020)

AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. - Shariq Iqbal; Christian A. Schröder de Witt; Bei Peng 001; Wendelin Böhmer; Shimon Whiteson; Fei Sha (CoRR, 2020)

When MAML Can Adapt Fast and How to Assist When It Cannot. - Sébastien M. R. Arnold; Shariq Iqbal; Fei Sha (AISTATS, 2021)

Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. - Shariq Iqbal; Christian A. Schröder de Witt; Bei Peng 001; Wendelin Boehmer; Shimon Whiteson; Fei Sha (ICML, 2021)

Possibility Before Utility: Learning And Using Hierarchical Affordances. - Robby Costales; Shariq Iqbal; Fei Sha (ICLR, 2022)

ALMA: Hierarchical Learning for Composite Multi-Agent Tasks. - Shariq Iqbal; Robby Costales; Fei Sha (NeurIPS, 2022)

Faster sorting algorithms discovered using deep reinforcement learning. - 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; et al. (Nat., 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - 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; et al. (Neural Networks, 2023)

Training Language Models to Self-Correct via Reinforcement Learning. - 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; et al. (ICLR, 2025)

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies. - Han Zhou 010; Xingchen Wan; Ruoxi Sun 002; Hamid Palangi; Shariq Iqbal; Ivan Vulic; Anna Korhonen; Sercan Ö. Arik (CoRR, 2025)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)