Honghao Wei
14 papers · 2022–2026 · 6 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (31) π Keyword Champion (3)
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Research topics
Machine Learning
(11)
Reinforcement Learning
(10)
Methods
(10)
Artificial Intelligence
(8)
Core AI
(8)
Learning Types
(8)
Optimization & Theory
(5)
Applications
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Computer Vision
(2)
Domain-Specific
(2)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Keywords
safe reinforcement learning
(7)
constraint violation
(6)
regret bound
(3)
offline reinforcement learning
(3)
constrained mdp
(3)
constrained markov decision process
(3)
model-free algorithm
(2)
autonomous driving
(2)
model-free reinforcement learning
(2)
policy optimization
(2)
sublinear regret
(2)
primal-dual algorithm
(2)
constraint satisfaction
(2)
linear function approximation
(2)
reproducing kernel hilbert space
(1)
sensor fusion
(1)
convex optimization
(1)
adversarial training
(1)
domain adaptation
(1)
adversarial learning
(1)
Papers
Safe Reinforcement Learning for Trustworthy AI: Theory, Algorithms, and Applications
AAAI 2026
SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy
UAI 2026
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints
ICML 2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
AAAI 2025
DATA: Domain-And-Time Alignment for High-Quality Feature Fusion in Collaborative Perception
ICCV 2025
HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection
AAAI 2025
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
NeurIPS 2024
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage
NeurIPS 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration
AAAI 2024
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs
AISTATS 2023
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks
NeurIPS 2023
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes
AAAI 2022
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond
NeurIPS 2022
Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation
AISTATS 2022