SafeRL-Lab/LLM-RL-Robotics-Papers
Large Language Models and Robotics.
This collection helps researchers and practitioners explore how large language models (LLMs) are being used to enhance robotic control and decision-making. It compiles academic papers on topics like multi-agent collaboration, reward function generation, robotic manipulation, and instruction-following for robots. Roboticists, AI researchers, and automation engineers can use this to understand current advancements and challenges in integrating LLMs with reinforcement learning for robotics applications.
No commits in the last 6 months.
Use this if you are a researcher or engineer looking for a curated list of academic papers on the intersection of large language models, reinforcement learning, and robotics.
Not ideal if you are looking for ready-to-use code, tutorials, or practical implementations for specific robotic tasks.
Stars
22
Forks
—
Language
—
License
—
Category
Last pushed
Apr 27, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/SafeRL-Lab/LLM-RL-Robotics-Papers"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
langfengQ/verl-agent
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is...
sotopia-lab/sotopia
Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
zhudotexe/redel
ReDel is a toolkit for researchers and developers to build, iterate on, and analyze recursive...
TIGER-AI-Lab/verl-tool
A version of verl to support diverse tool use
AMAP-ML/Tree-GRPO
[ICLR 2026] Tree Search for LLM Agent Reinforcement Learning