Yanchao Sun
23 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(14)
Core AI
(14)
Machine Learning
(13)
Reinforcement Learning
(10)
Learning Types Β· Machine Learning
(10)
Deep Learning
(9)
Methods
(9)
Learning Types Β· Deep Learning
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Optimization & Theory
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Application Areas Β· Machine Learning
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Natural Language Processing
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Application Areas Β· Deep Learning
(1)
Keywords
reinforcement learning
(9)
sample efficiency
(3)
adversarial perturbation
(3)
continuous control
(3)
adversarial training
(3)
adversarial robustness
(2)
image classification
(2)
large language model
(2)
multi-agent reinforcement learning
(2)
visual reinforcement learning
(2)
representation learning
(2)
multi-task learning
(2)
transfer learning
(2)
adversarial attack
(2)
sequential decision making
(2)
policy learning
(2)
imitation learning
(2)
policy optimization
(2)
markov decision process
(2)
model security
(1)
Papers
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
NAACL 2025
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
AISTATS 2025
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
ICLR 2025
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
ICML 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
ICLR 2024
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
ICLR 2024
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
ICLR 2024
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
ICLR 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
NeurIPS 2024
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
NeurIPS 2023
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
ICLR 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
ICLR 2023
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
ICCV 2023
Learning Generalizable Agents via Saliency-guided Features Decorrelation
NeurIPS 2023
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
ICLR 2023
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
NeurIPS 2022
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning
NeurIPS 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
NeurIPS 2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization
ICLR 2022
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
ICLR 2022
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL
AAAI 2021
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
ICLR 2021
Understanding Generalization in Deep Learning via Tensor Methods
AISTATS 2020