Awesome Large Language Models
📄
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
Simon Stepputtis — most-cited papers & profile · Large Language Models
← authors
·
overview
Simon Stepputtis
21
papers ·
60
citations ·
12
h-index
Virginia Tech
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
2020 · 21 citations
ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition
2024 · 14 citations
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
2023 · 7 citations
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
2019 · 4 citations
Explainable Action Advising for Multi-Agent Reinforcement Learning
2022 · 3 citations
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
2019 · 2 citations
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation
2022 · 2 citations
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
2023 · 2 citations
Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
2025 · 1 citations
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies
2022 · 1 citations
Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos
2023 · 1 citations
Multi-Agent Transfer Learning via Temporal Contrastive Learning
2024 · 1 citations
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
2024 · 1 citations
SCALAR: Learning And Composing Skills Through LLM Guided Symbolic Planning And Deep RL Grounding
2026
SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding
2026
Topics
Human-Robot Interaction
Manipulation
Multi-Agent
RLHF & Alignment
Control
Exploration
Game AI
cs.LG
Model-Based RL
Perception