Minqi Jiang

Cited by

	All	Since 2017
Citations	124	122
h-index	6	6
i10-index	5	5

201520162017201820192020202120221 1 1 5 6 6 39 65

Public access

View all

1 article

0 articles

available

not available

Based on funding mandates

Co-authors

Tim RocktäschelResearcher at DeepMind, Associate Professor at UCLVerified email at cs.ucl.ac.uk
Edward GrefenstetteHead of Machine Learning, Cohere; Honorary Professor, UCLVerified email at cohere.com
Jack Parker-HolderResearch Scientist at DeepMindVerified email at google.com
Mikayel SamvelyanUCL & Meta AIVerified email at fb.com
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Michael DennisPhD Candidate, UC BerkeleyVerified email at cs.berkeley.edu
Robert KirkPhD Student, University College LondonVerified email at ucl.ac.uk
Heinrich KüttlerInflection AIVerified email at math.lmu.de
Pasquale MinerviniUniversity College LondonVerified email at cs.ucl.ac.uk
Macduff HughesGoogleVerified email at google.com
Vitaly KurinMachine Learning PhD student at the University of Oxford, Whiteson Research labVerified email at cs.ox.ac.uk
Fabio PetroniFacebook AI ResearchVerified email at fb.com
Eric HambroFacebook AI ResearchVerified email at fb.com
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Jelena LuketinaOxford UniversityVerified email at cs.ox.ac.uk
Nantas NardelliCarbon ReVerified email at carbonre.com
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
Jesse MuPhD Student in Computer Science, Stanford UniversityVerified email at stanford.edu
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
Victor ZhongPhD student at the University of WashingtonVerified email at victorzhong.com

Minqi Jiang

University College London & Meta AI Research

Verified email at ucl.ac.uk - Homepage

Artificial Intelligence Intelligence Augmentation Open-Endedness Evolutionary Dynamics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Prioritized level replay M Jiang, E Grefenstette, T Rocktäschel International Conference on Machine Learning, 4940-4950, 2021	39	2021
Motion responsive user interface for realtime language translation AJ Cuthbert, JJ Estelle, MR Hughes, S Goyal, MS Jiang US Patent 9,355,094, 2016	22	2016
Minihack the planet: A sandbox for open-ended reinforcement learning research M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ... arXiv preprint arXiv:2109.13202, 2021	20	2021
Replay-Guided Adversarial Environment Design M Jiang, M Dennis, J Parker-Holder, J Foerster, E Grefenstette, ... NeurIPS 2021, 2021	13	2021
WordCraft: An Environment for Benchmarking Commonsense Agents M Jiang, J Luketina, N Nardelli, P Minervini, PHS Torr, S Whiteson, ... Language in Reinforcement Learning Workshop at ICML 2020, 2020	12	2020
Improving intrinsic exploration with language abstractions J Mu, V Zhong, R Raileanu, M Jiang, N Goodman, T Rocktäschel, ... arXiv preprint arXiv:2202.08938, 2022	8	2022
Evolving Curricula with Regret-Based Environment Design J Parker-Holder, M Jiang, M Dennis, M Samvelyan, J Foerster, ... ICML 2022, https://accelagent.github.io, 2022	5	2022
Insights from the NeurIPS 2021 NetHack challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022	2	2022
Resolving Causal Confusion in Reinforcement Learning via Robust Exploration C Lyle, A Zhang, M Jiang, J Pineau, Y Gal Self-Supervision for Reinforcement Learning Workshop-ICLR 2021, 2021	2	2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning Z Jiang, P Minervini, M Jiang, T Rocktäschel AAMAS 2021 (Oral), 2021	1	2021
Grounding Aleatoric Uncertainty in Unsupervised Environment Design M Jiang, M Dennis, J Parker-Holder, A Lupu, H Küttler, E Grefenstette, ... arXiv preprint arXiv:2207.05219, 2022		2022
A Study of Off-Policy Learning in Environments with Procedural Content Generation A Ehrenberg, R Kirk, M Jiang, E Grefenstette, T Rocktäschel ICLR Workshop on Agent Learning in Open-Endedness, 2022		2022
GriddlyJS: A Web IDE for Reinforcement Learning C Bamford, M Jiang, M Samvelyan, T Rocktäschel		2022
Return Dispersion as an Estimator of Learning Potential for Prioritized Level Replay I Korshunova, M Jiang, J Parker-Holder, T Rocktäschel, E Grefenstette I (Still) Can't Believe It's Not Better! NeurIPS 2021 Workshop, 2021		2021

The system can't perform the operation now. Try again later.

Articles 1–14

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors