Qi Yi
17 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (46) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Mega-Team · Squad
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Dynamic Duo
(13)
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Prolific Year · Productive
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Century Club · Bronze
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Renaissance Researcher
(5)
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Keyword Collector
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Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(12)
Machine Learning
(10)
Reinforcement Learning
(10)
Learning Paradigms
(8)
Methods
(8)
Learning Types · Machine Learning
(6)
Deep Learning
(5)
Learning Types · Deep Learning
(5)
Applications
(3)
Application Areas
(2)
Core Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Keywords
reinforcement learning
(4)
transfer learning
(3)
mutual information
(2)
policy transfer
(2)
large language model
(2)
policy optimization
(2)
adversarial perturbation
(2)
emergent communication
(2)
multi-agent system
(2)
few-shot learning
(1)
adversarial robustness
(1)
feature learning
(1)
contrastive learning
(1)
offline reinforcement learning
(1)
causal inference
(1)
multi-task learning
(1)
domain adaptation
(1)
adversarial learning
(1)
representation learning
(1)
domain generalization
(1)
Papers
AT²PO: Agentic Turn-based Policy Optimization via Tree Search
ACL 2026
Reinforcement Learning on Pre-Training Data
ACL 2026
Emergent Communication for Numerical Concepts Generalization
AAAI 2024
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning
AAAI 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning
AAAI 2024
Prompt-based Visual Alignment for Zero-shot Policy Transfer
ICML 2024
Conceptual Reinforcement Learning for Language-Conditioned Tasks
AAAI 2023
Context Shift Reduction for Offline Meta-Reinforcement Learning
NeurIPS 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
NeurIPS 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
NeurIPS 2023
Emergent Communication for Rules Reasoning
NeurIPS 2023
ImageNet Pre-training Also Transfers Non-robustness
AAAI 2023
Online Prototype Alignment for Few-shot Policy Transfer
ICML 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
CVPR 2023
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
NeurIPS 2022
Object-Category Aware Reinforcement Learning
NeurIPS 2022
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
IJCAI 2021