Shariq Iqbal

According to our database, Shariq Iqbal authored at least 14 papers between 2017 and 2023.

Collaborative distances:

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

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, 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

Neural Networks, March, 2023

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, 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

Nat., 2023

2022

ALMA: Hierarchical Learning for Composite Multi-Agent Tasks.

Shariq Iqbal, Robby Costales, Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Possibility Before Utility: Learning And Using Hierarchical Affordances.

Robby Costales, Shariq Iqbal, Fei Sha

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning.

Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Boehmer, Shimon Whiteson, Fei Sha

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

When MAML Can Adapt Fast and How to Assist When It Cannot.

Sébastien M. R. Arnold, Shariq Iqbal, Fei Sha

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning.

Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha

CoRR, 2020

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning.

Sébastien M. R. Arnold, 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

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning.

Shariq Iqbal, Fei Sha

CoRR, 2019

Actor-Attention-Critic for Multi-Agent Reinforcement Learning.

Shariq Iqbal, Fei Sha

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

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

2017

Learning to Draw Dynamic Agent Goals with Generative Adversarial Networks.

Shariq Iqbal, John M. Pearson

CoRR, 2017