Minqi Jiang
19 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🗺️
Taxonomy Completionist
(36)
🌍
Conference Polyglot
(4)
🤝
Dynamic Duo
(10)
👑
Triple Crown
👥
Mega-Team
(21)
🔥
Unstoppable
(5)
💎
Century Club
(19)
🗃️
Keyword Collector
(78)
⚡
Prolific Year
(6)
Conferences
NIPS (10)
ICLR (4)
ICML (4)
IJCAI (1)
Top co-authors
Keywords
curriculum learning
(5)
reinforcement learning
(5)
exploration bonus
(3)
anomaly detection
(2)
adversarial learning
(2)
deep reinforcement learning
(2)
environment design
(2)
large language model
(2)
adversarial environment design
(2)
unsupervised environment design
(2)
game theory
(1)
offline reinforcement learning
(1)
multi-agent reinforcement learning
(1)
policy gradient
(1)
unsupervised learning
(1)
adversarial robustness
(1)
code generation
(1)
representation learning
(1)
text generation
(1)
prompt engineering
(1)
Papers
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games
IJCAI 2025
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
NIPS 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
NIPS 2024
Learning to Act without Actions
ICLR 2024
Reward-Free Curricula for Training Robust World Models
ICLR 2024
The Generalization Gap in Offline Reinforcement Learning
ICLR 2024
Refining Minimax Regret for Unsupervised Environment Design
ICML 2024
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
NIPS 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
ICLR 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
ICML 2023
ADGym: Design Choices for Deep Anomaly Detection
NIPS 2023
Improving Intrinsic Exploration with Language Abstractions
NIPS 2022
Exploration via Elliptical Episodic Bonuses
NIPS 2022
GriddlyJS: A Web IDE for Reinforcement Learning
NIPS 2022
ADBench: Anomaly Detection Benchmark
NIPS 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
NIPS 2022
Evolving Curricula with Regret-Based Environment Design
ICML 2022
Replay-Guided Adversarial Environment Design
NIPS 2021
Prioritized Level Replay
ICML 2021