Minqi Jiang - RankMe

66 papers A* 20A 4Journal 39Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APRES: An Agentic Paper Revision and Evaluation System. CoRR Bingchen Zhao, Jenny Zhang, Chenxi Whitehouse, Minqi Jiang, Michael Shvartsman, Abhishek Charnalia, Despoina Magka, Tatiana Shavrina, Derek Dunfield, Oisin Mac Aodha, Yoram Bachrach
2026	J	`jnl`	Asking the Right Questions: Improving Reasoning with Generated Stepping Stones. CoRR Hengyuan Hu, Tingchen Fu, Minqi Jiang, Alexander H. Miller, Yoram Bachrach, Jakob Nicolaus Foerster
2026	J	`jnl`	Bootstrapping Task Spaces for Self-Improvement. Trans. Mach. Learn. Res. Minqi Jiang, Andrei Lupu, Yoram Bachrach
2026	J	`jnl`	Hyperagents. CoRR Jenny Zhang, Bingchen Zhao, Wannan Yang, Jakob N. Foerster, Jeff Clune, Minqi Jiang, Sam Devlin, Tatiana Shavrina
2025	J	`jnl`	AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. CoRR Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Mario Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, Andrei Lupu, Roberta Raileanu, Kelvin Niu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander H. Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, Yoram Bachrach
2025	J	`jnl`	Bootstrapping Task Spaces for Self-Improvement. CoRR Minqi Jiang, Andrei Lupu, Yoram Bachrach
2025	A*	`conf`	Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. IJCAI Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra
2025	J	`jnl`	Generative Data Refinement: Just Ask for Better Data. CoRR Minqi Jiang, João G. M. Araújo, Will Ellsworth, Sian Gooding, Edward Grefenstette
2025	J	`jnl`	TSGym: Design Choices for Deep Multivariate Time-Series Forecasting. CoRR Shuang Liang, Chaochuan Hou, Xu Yao, Shiping Wang, Minqi Jiang, Songqiao Han, Hailiang Huang
2025	J	`jnl`	The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset. CoRR Gilad Landau, Miran Özdogan, Gereon Elvers, Francesco Mantegna, Pratik Somaiya, Dulhan Jayalath, Luisa Kurth, Teyun Kwon, Brendan Shillingford, Gregory Farquhar, Minqi Jiang, Karim Jerbi, Hamza Abdelhedi, Yorguin José Mantilla Ramos, Caglar Gulcehre, Mark W. Woolrich, Natalie Voets, Oiwi Parker Jones
2025	J	`jnl`	The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. CoRR Bingchen Zhao, Despoina Magka, Minqi Jiang, Xian Li, Roberta Raileanu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Kelvin Niu, Shagun Sodhani, Michael Shvartsman, Andrei Lupu, Alisia Maria Lupidi, Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Thomas Foster, Lucia Cipolina-Kun, Abhishek Charnalia, Derek Dunfield, Alexander H. Miller, Oisin Mac Aodha, Jakob N. Foerster, Yoram Bachrach
2024	A	`conf`	Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. CIKM Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun
2024	A	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	A*	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. NeurIPS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	A*	`conf`	Learning to Act without Actions. ICLR Dominik Schmidt, Minqi Jiang
2024	A	`conf`	Multi-Agent Diagnostics for Robustness via Illuminated Diversity. AAMAS Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
2024	J	`jnl`	Multi-Agent Diagnostics for Robustness via Illuminated Diversity. CoRR Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
2024	A*	`conf`	Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. NeurIPS Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
2024	J	`jnl`	Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
2024	A*	`conf`	Refining Minimax Regret for Unsupervised Environment Design. ICML Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael D. Dennis, Jakob Nicolaus Foerster
2024	J	`jnl`	Refining Minimax Regret for Unsupervised Environment Design. CoRR Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael Dennis, Jakob N. Foerster
2024	A*	`conf`	Reward-Free Curricula for Training Robust World Models. ICLR Marc Rigter, Minqi Jiang, Ingmar Posner
2024	A*	`conf`	The Generalization Gap in Offline Reinforcement Learning. ICLR Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu
2023	A*	`conf`	A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. ICML Mikael Henaff, Minqi Jiang, Roberta Raileanu
2023	J	`jnl`	A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. CoRR Mikael Henaff, Minqi Jiang, Roberta Raileanu
2023	A*	`conf`	ADGym: Design Choices for Deep Anomaly Detection. NeurIPS Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
2023	J	`jnl`	ADGym: Design Choices for Deep Anomaly Detection. CoRR Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
2023	A*	`conf`	Anomaly Detection with Score Distribution Discrimination. KDD Minqi Jiang, Songqiao Han, Hailiang Huang
2023	J	`jnl`	Anomaly Detection with Score Distribution Discrimination. CoRR Minqi Jiang, Songqiao Han, Hailiang Huang
2023	A*	`conf`	Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. NeurIPS Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2023	J	`jnl`	Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. CoRR Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster
2023	J	`jnl`	How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection. CoRR Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, Yupeng Wu
2023	J	`jnl`	JaxMARL: Multi-Agent RL Environments in JAX. CoRR Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster
2023	J	`jnl`	Learning Curricula in Open-Ended Worlds. CoRR Minqi Jiang
2023	J	`jnl`	Learning to Act without Actions. CoRR Dominik Schmidt, Minqi Jiang
2023	A*	`conf`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	Reward-Free Curricula for Training Robust World Models. CoRR Marc Rigter, Minqi Jiang, Ingmar Posner
2023	—	`conf`	Stabilizing Unsupervised Environment Design with a Learned Adversary. CoLLAs Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
2023	J	`jnl`	Stabilizing Unsupervised Environment Design with a Learned Adversary. CoRR Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
2023	J	`jnl`	The Generalization Gap in Offline Reinforcement Learning. CoRR Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu
2023	J	`jnl`	Weakly Supervised Anomaly Detection: A Survey. CoRR Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao
2023	J	`jnl`	minimax: Efficient Baselines for Autocurricula in JAX. CoRR Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel
2022	A*	`conf`	ADBench: Anomaly Detection Benchmark. NeurIPS Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao
2022	A*	`conf`	Evolving Curricula with Regret-Based Environment Design. ICML Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Evolving Curricula with Regret-Based Environment Design. CoRR Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2022	A*	`conf`	Exploration via Elliptical Episodic Bonuses. NeurIPS Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
2022	J	`jnl`	Exploration via Elliptical Episodic Bonuses. CoRR Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
2022	J	`jnl`	General Intelligence Requires Rethinking Exploration. CoRR Minqi Jiang, Tim Rocktäschel, Edward Grefenstette
2022	A*	`conf`	GriddlyJS: A Web IDE for Reinforcement Learning. NeurIPS Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
2022	J	`jnl`	GriddlyJS: A Web IDE for Reinforcement Learning. CoRR Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
2022	A*	`conf`	Grounding Aleatoric Uncertainty for Unsupervised Environment Design. NeurIPS Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2022	J	`jnl`	Grounding Aleatoric Uncertainty in Unsupervised Environment Design. CoRR Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2022	A*	`conf`	Improving Intrinsic Exploration with Language Abstractions. NeurIPS Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Improving Intrinsic Exploration with Language Abstractions. CoRR Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Insights From the NeurIPS 2021 NetHack Challenge. CoRR Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2021	A	`conf`	Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2021	J	`jnl`	Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2021	—	`conf`	Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2021	—	`conf`	MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
2021	A*	`conf`	Prioritized Level Replay. ICML Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
2021	A*	`conf`	Replay-Guided Adversarial Environment Design. NeurIPS Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	Replay-Guided Adversarial Environment Design. CoRR Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	Prioritized Level Replay. CoRR Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	WordCraft: An Environment for Benchmarking Commonsense Agents. CoRR Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel