Hands-on LLM-based Agents: A Tutorial for General Audiences
Beginner-friendly tutorial; foundations + nine examples + practical tips + frontier roadmap.
Nov 17, 2025
From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models
A lightweight large language model inference framework that performs structured and fine-grained natural language reasoning without the need for complex search and external tools.
Aug 1, 2025
Enhancing robotic manipulation with AI feedback from multimodal large language models
A study of how multimodal LLM feedback can improve robotic manipulation planning and execution.
Feb 1, 2024
Peria: Perceive, reason, imagine, act via holistic language and vision planning for manipulation
A holistic language-and-vision planning framework that unifies perception, reasoning, imagination, and action for manipulation.
Jan 1, 2024
OSCAR: OOD State-Conservative Offline Reinforcement Learning for Sequential Decision Making
An offline reinforcement learning method that stays conservative on out-of-distribution states for sequential decision-making.
Jan 1, 2023
Exploration in deep reinforcement learning: From single-agent to multiagent domain
A survey of exploration methods in deep reinforcement learning, spanning single-agent and multi-agent settings.
Jan 1, 2023