Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Harish, Abhinav Narayan"'
Autor:
Labiosa, Adam, Wang, Zhihan, Agarwal, Siddhant, Cong, William, Hemkumar, Geethika, Harish, Abhinav Narayan, Hong, Benjamin, Kelle, Josh, Li, Chen, Li, Yuhao, Shao, Zisen, Stone, Peter, Hanna, Josiah P.
Robot decision-making in partially observable, real-time, dynamic, and multi-agent environments remains a difficult and unsolved challenge. Model-free reinforcement learning (RL) is a promising approach to learning decision-making in such domains, ho
Externí odkaz:
http://arxiv.org/abs/2412.09417
We present Reinforcement Learning via Auxiliary Task Distillation (AuxDistill), a new method that enables reinforcement learning (RL) to perform long-horizon robot control problems by distilling behaviors from auxiliary RL tasks. AuxDistill achieves
Externí odkaz:
http://arxiv.org/abs/2406.17168
We have proposed a self-supervised deep learning framework for solving the mesh blending problem in scenarios where the meshes are not in correspondence. To solve this problem, we have developed Red-Blue MPNN, a novel graph neural network that proces
Externí odkaz:
http://arxiv.org/abs/2306.13452
Autonomous assembly of objects is an essential task in robotics and 3D computer vision. It has been studied extensively in robotics as a problem of motion planning, actuator control and obstacle avoidance. However, the task of developing a generalize
Externí odkaz:
http://arxiv.org/abs/2107.12859