20 citations · 57 across the 5 of their papers we have counts for
5 papers
Real2Code: Reconstruct Articulated Objects via Code Generation
Zhao Mandi, Yijia Weng, Dominik Bauer +1
We present Real2Code, a novel approach to reconstructing articulated objects via code generation. Given visual observations of an object, we first reconstruct its part geometry usi…
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
Zhao Mandi, Shreeya Jain, Shuran Song
We propose a novel approach to multi-robot collaboration that harnesses the power of pre-trained large language models (LLMs) for both high-level communication and low-level path p…
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
Zhao Mandi, Homanga Bharadhwaj, Vincent Moens +3
Large-scale training have propelled significant progress in various sub-fields of AI such as computer vision and natural language processing. However, building robot learning syste…
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
Zhao Mandi, Pieter Abbeel, Stephen James
Intelligent agents should have the ability to leverage knowledge from previously learned tasks in order to learn new ones quickly and efficiently. Meta-learning approaches have eme…
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
Daniel Seita, David Chan, Roshan Rao +3
Learning from demonstrations is a popular tool for accelerating and reducing the exploration requirements of reinforcement learning. When providing expert demonstrations to human s…