Lin Guan
9 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (25)
π
Grand Slam
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(56)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(6)
Reinforcement Learning
(5)
Learning Types Β· Machine Learning
(5)
Methods
(5)
Deep Learning
(2)
Applications
(2)
Learning Types Β· Deep Learning
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Robotics
(1)
Application Areas
(1)
Capabilities
(1)
Reasoning
(1)
Keywords
reinforcement learning
(5)
human demonstration
(2)
human feedback
(2)
deep reinforcement learning
(2)
imitation learning
(2)
neuro-symbolic approach
(2)
policy learning
(1)
data augmentation
(1)
interactive learning
(1)
self-supervised learning
(1)
preference learning
(1)
knowledge representation
(1)
feature learning
(1)
explainable ai
(1)
hierarchical reinforcement learning
(1)
symbolic reasoning
(1)
eye tracking
(1)
robot learning
(1)
game playing
(1)
feature importance
(1)
Papers
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
AAAI 2024
Position: LLMs Canβt Plan, But Can Help Planning in LLM-Modulo Frameworks
ICML 2024
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
NeurIPS 2023
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
ICLR 2023
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
ICML 2022
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
AAAI 2022
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
NeurIPS 2021
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
AAAI 2020
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
IJCAI 2019