Minghui Zhu
11 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🏆
Grand Slam
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Reinforcement Learning
(7)
Learning Paradigms · Artificial Intelligence
(6)
Methods
(6)
Learning Paradigms · Machine Learning
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Core AI
(2)
Learning Types
(2)
Optimization & Theory
(2)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Keywords
bilevel optimization
(6)
constrained optimization
(3)
inverse reinforcement learning
(3)
online learning
(2)
policy learning
(2)
meta-reinforcement learning
(2)
inverse constrained reinforcement learning
(2)
reward function
(2)
distributed learning
(2)
generalization error
(1)
convergence
(1)
reward function estimation
(1)
generalization bound
(1)
streaming data
(1)
gradient approximation
(1)
policy adaptation
(1)
task distribution
(1)
expert demonstration
(1)
reward shaping
(1)
trajectory learning
(1)
Papers
Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding
ICML 2025
UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning
ICLR 2025
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates
NeurIPS 2024
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
ICLR 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
NeurIPS 2024
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
AAAI 2023
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations
NeurIPS 2023
Online Constrained Meta-Learning: Provable Guarantees for Generalization
NeurIPS 2023
Byzantine-tolerant federated Gaussian process regression for streaming data
NeurIPS 2022
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
NeurIPS 2022
Meta Value Learning for Fast Policy-Centric Optimal Motion Planning
RSS 2022