Follow
Shariq Iqbal
Shariq Iqbal
Research Scientist, Deepmind
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
S Iqbal, F Sha
Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019
8082019
Gemini: A family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
6232023
Faster sorting algorithms discovered using deep reinforcement learning
DJ Mankowitz, A Michi, A Zhernov, M Gelmi, M Selvi, C Paduraru, ...
Nature 618 (7964), 257-263, 2023
922023
Wearable Eye-tracking for Research: Automated dynamic gaze mapping and accuracy/precision comparisons across devices
JJ MacInnes, S Iqbal, J Pearson, EN Johnson
bioRxiv, 299925, 2018
862018
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
S Iqbal, CAS de Witt, B Peng, W Böhmer, S Whiteson, F Sha
Proceedings of the 38th International Conference on Machine Learning (ICML), 2021
73*2021
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning
S Iqbal, F Sha
arXiv preprint arXiv:1905.12127, 2019
502019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
302024
When MAML Can Adapt Fast and How to Assist When It Cannot
S Arnold, S Iqbal, F Sha
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
29*2021
Toward Sim-to-Real Directional Semantic Grasping
S Iqbal, J Tremblay, T To, J Cheng, E Leitch, A Campbell, K Leung, ...
International Conference on Robotics and Automation (ICRA), 7247-7253, 2020
22*2020
A domain-agnostic approach for characterization of lifelong learning systems
MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ...
Neural Networks 160, 274-296, 2023
172023
Latent goal models for dynamic strategic interaction
SN Iqbal, L Yin, CB Drucker, Q Kuang, JF Gariépy, ML Platt, JM Pearson
PLOS Computational Biology 15 (3), e1006895, 2019
92019
ALMA: Hierarchical Learning for Composite Multi-Agent Tasks
S Iqbal, R Costales, F Sha
Advances in Neural Information Processing Systems 35, 7155-7166, 2022
72022
Mobile Gaze Mapping: A Python package for mapping mobile gaze data to a fixed target stimulus
J MacInnes, S Iqbal, J Pearson, E Johnson
Journal of Open Source Software 3 (31), 984, 2018
72018
A Goal-Based Movement Model for Continuous Multi-Agent Tasks
S Iqbal, J Pearson
NIPS BigNeuro Workshop, 2017
42017
Possibility Before Utility: Learning And Using Hierarchical Affordances
R Costales, S Iqbal, F Sha
International Conference on Learning Representations, 2021
32021
ROBOTIC CONTROL SYSTEM
S Iqbal, J Tremblay, TH To, J Cheng, E Leitch, DJ Mckay, ST Birchfield
US Patent App. 18/378,241, 2024
2024
Robotic control system
S Iqbal, J Tremblay, TH To, J Cheng, E Leitch, DJ McKay, ST Birchfield
US Patent 11,833,681, 2023
2023
Supplementary Material: Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
S Iqbal, CAS de Witt, B Peng, W Böhmer, S Whiteson, F Sha
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Supplementary Material
S Iqbal, F Sha
Inferring Individual Goals Using Inverse Reinforcement Learning
SK McDonald, S Iqbal, S Huettel, J Pearson
The system can't perform the operation now. Try again later.
Articles 1–20