Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Yinghui Li — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yinghui Li
21
papers ·
59
citations ·
0
h-index
Macau University of Science and Technology · Shanghai University of Engineering Science · Shanghai Jiao Tong University · Changzhi Medical College
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
When Llms Meet Cunning Texts: A Fallacy Understanding Benchmark For Large Language Models
2024 · 28 citations
Rethinking The Roles Of Large Language Models In Chinese Grammatical Error Correction
2024 · 14 citations
From Token to Line: Enhancing Code Generation with a Long-Term Perspective
2025 · 6 citations
Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning Towards Natural and Robust Gaits
2024 · 4 citations
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
2025 · 3 citations
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
2024 · 2 citations
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
2025 · 1 citations
Swing Leg Motion Strategy for Heavy-load Legged Robot Based on Force Sensing
2023 · 1 citations
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI
2026
Thinking in Video: Can Video Generators Really Reason About the Real World?
2026
SMASH: Mastering Scalable Whole-Body Skills for Humanoid Ping-Pong with Egocentric Vision
2026
EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration
2026
TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning
2026
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
2025
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning
2025
Topics
Evaluation
Benchmarks
Training Techniques
Control
Model Architecture
Efficiency
Locomotion
Fine-Tuning
Reinforcement Learning
Perception