Jianxiong Li
12 papers · 2023–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π Grand Slam π€ Dynamic Duo (12)
π
Triple Crown
ποΈ
Keyword Collector
(63)
β
The Questioner
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Trend Setter
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Deep Learning
(7)
Machine Learning
(7)
Reinforcement Learning
(7)
Core AI
(6)
Methods
(6)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Learning Paradigms
(2)
Models
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Application Areas
(1)
Applications
(1)
Keywords
offline reinforcement learning
(5)
policy learning
(3)
diffusion model
(2)
policy optimization
(1)
query selection
(1)
visual grounding
(1)
autonomous driving
(1)
out-of-distribution generalization
(1)
distribution matching
(1)
quantile regression
(1)
human feedback
(1)
robot control
(1)
bradley-terry model
(1)
bilevel optimization
(1)
safe reinforcement learning
(1)
instruction following
(1)
transfer learning
(1)
sequential modeling
(1)
reward model
(1)
continual learning
(1)
Papers
Are Expressive Models Truly Necessary for Offline RL?
AAAI 2025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
ICLR 2025
Efficient Robotic Policy Learning via Latent Space Backward Planning
ICML 2025
Skill Expansion and Composition in Parameter Space
ICLR 2025
Universal Actions for Enhanced Embodied Foundation Models
CVPR 2025
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
ICML 2024
Instruction-Guided Visual Masking
NeurIPS 2024
Query-Policy Misalignment in Preference-Based Reinforcement Learning
ICLR 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
ICLR 2024
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
ICLR 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
ICLR 2023
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
ICLR 2023