Runze Liu
9 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Grand Slam
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Artificial Intelligence
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Reinforcement Learning
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Machine Learning
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Deep Learning
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Applications
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Learning Types Β· Deep Learning
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Learning Types Β· Machine Learning
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Robotics
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Optimization & Theory
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Keywords
adversarial attack
(2)
preference-based reinforcement learning
(2)
human preference
(2)
reward learning
(2)
offline reinforcement learning
(2)
optimal transport
(2)
preference learning
(1)
mathematical reasoning
(1)
reinforcement learning
(1)
flow matching
(1)
reward function
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expert demonstration
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bilevel optimization
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human feedback
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adversarial training
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policy adaptation
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vision-language model
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policy learning
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gaussian distribution
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chain-of-thought reasoning
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Papers
AdvFM: Lookahead Flow-Matching Velocity-Field Attacks for Imperceptible and Transferable Adversarial Examples
CVPR 2026
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
AAAI 2026
Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
ICLR 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
AAAI 2025
ReviewRL: Towards Automated Scientific Review with RL
EMNLP 2025
VLP: Vision-Language Preference Learning for Embodied Manipulation
EMNLP 2025
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
ICML 2024
SEABO: A Simple Search-Based Method for Offline Imitation Learning
ICLR 2024
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
NeurIPS 2022