Awesome Robotics
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Reading Packs
News
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Reading Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Lin Guan — most-cited papers & profile · Robotics
← authors
·
overview
Lin Guan
18
papers ·
50
citations ·
23
h-index
Loughborough University · South China University of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
2019
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
2020
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
2021
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
2022
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion
2022
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
2022
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
2023
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
2024
Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning
2024
Top co-authors
Subbarao Kambhampati
· 7
Karthik Valmeekam
· 4
Mudit Verma
· 4
Sarath Sreedharan
· 3
Ruohan Zhang
· 2
Siddhant Bhambri
· 2
and Subbarao Kambhampati
· 1
Anil Murthy
· 1
Atharva Gundawar
· 1
Dana H. Ballard
· 1
Faraz Torabi
· 1
Kaya Stechly
· 1
Topics
cs.AI
cs.LG
cs.HC