Minqi Jiang

Orcid: 0000-0003-1285-0208

According to our database1, Minqi Jiang authored at least 30 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
CoRR, 2024

Refining Minimax Regret for Unsupervised Environment Design.
CoRR, 2024

Multi-Agent Diagnostics for Robustness via Illuminated Diversity.
CoRR, 2024

2023
Learning to Act without Actions.
CoRR, 2023

The Generalization Gap in Offline Reinforcement Learning.
CoRR, 2023

Learning Curricula in Open-Ended Worlds.
CoRR, 2023

minimax: Efficient Baselines for Autocurricula in JAX.
CoRR, 2023

JaxMARL: Multi-Agent RL Environments in JAX.
CoRR, 2023

Reward-Free Curricula for Training Robust World Models.
CoRR, 2023

Weakly Supervised Anomaly Detection: A Survey.
CoRR, 2023

How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.
CoRR, 2023

ADGym: Design Choices for Deep Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Anomaly Detection with Score Distribution Discrimination.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs.
Proceedings of the International Conference on Machine Learning, 2023

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stabilizing Unsupervised Environment Design with a Learned Adversary.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
General Intelligence Requires Rethinking Exploration.
CoRR, 2022

Improving Intrinsic Exploration with Language Abstractions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grounding Aleatoric Uncertainty for Unsupervised Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploration via Elliptical Episodic Bonuses.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ADBench: Anomaly Detection Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GriddlyJS: A Web IDE for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolving Curricula with Regret-Based Environment Design.
Proceedings of the International Conference on Machine Learning, 2022

2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Replay-Guided Adversarial Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


Prioritized Level Replay.
Proceedings of the 38th International Conference on Machine Learning, 2021

Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
WordCraft: An Environment for Benchmarking Commonsense Agents.
CoRR, 2020


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