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Minqi Jiang
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Cited by
Year
Prioritized level replay
M Jiang, E Grefenstette, T Rocktäschel
International Conference on Machine Learning, 4940-4950, 2021
392021
Motion responsive user interface for realtime language translation
AJ Cuthbert, JJ Estelle, MR Hughes, S Goyal, MS Jiang
US Patent 9,355,094, 2016
222016
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
202021
Replay-Guided Adversarial Environment Design
M Jiang*, M Dennis*, J Parker-Holder, J Foerster, E Grefenstette, ...
NeurIPS 2021, 2021
132021
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
122020
Improving intrinsic exploration with language abstractions
J Mu, V Zhong, R Raileanu, M Jiang, N Goodman, T Rocktäschel, ...
arXiv preprint arXiv:2202.08938, 2022
82022
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
52022
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
22022
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
22021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
Z Jiang, P Minervini, M Jiang, T Rocktäschel
AAMAS 2021 (Oral), 2021
12021
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
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