Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yu, Dongjie"'
Bimanual manipulation tasks typically involve multiple stages which require efficient interactions between two arms, posing step-wise and stage-wise challenges for imitation learning systems. Specifically, failure and delay of one step will broadcast
Externí odkaz:
http://arxiv.org/abs/2406.10093
Autor:
Zheng, Yinan, Li, Jianxiong, Yu, Dongjie, Yang, Yujie, Li, Shengbo Eben, Zhan, Xianyuan, Liu, Jingjing
Safe offline RL is a promising way to bypass risky online interactions towards safe policy learning. Most existing methods only enforce soft constraints, i.e., constraining safety violations in expectation below thresholds predetermined. This can lea
Externí odkaz:
http://arxiv.org/abs/2401.10700
Autor:
Yu, Dongjie, Zou, Wenjun, Yang, Yujie, Ma, Haitong, Li, Shengbo Eben, Duan, Jingliang, Chen, Jianyu
Safe reinforcement learning (RL) that solves constraint-satisfactory policies provides a promising way to the broader safety-critical applications of RL in real-world problems such as robotics. Among all safe RL approaches, model-based methods reduce
Externí odkaz:
http://arxiv.org/abs/2210.07553
Constrained reinforcement learning (CRL) has gained significant interest recently, since safety constraints satisfaction is critical for real-world problems. However, existing CRL methods constraining discounted cumulative costs generally lack rigoro
Externí odkaz:
http://arxiv.org/abs/2205.07536
Spiking neural networks (SNNs) are known as a typical kind of brain-inspired models with their unique features of rich neuronal dynamics, diverse coding schemes and low power consumption properties. How to obtain a high-accuracy model has always been
Externí odkaz:
http://arxiv.org/abs/2203.01158
Autor:
Ren, Yangang, Jiang, Jianhua, Yu, Dongjie, Li, Shengbo Eben, Duan, Jingliang, Chen, Chen, Li, Keqiang
Intersection is one of the most complex and accident-prone urban scenarios for autonomous driving wherein making safe and computationally efficient decisions is non-trivial. Current research mainly focuses on the simplified traffic conditions while i
Externí odkaz:
http://arxiv.org/abs/2110.12359
Autor:
Duan, Jingliang, Ren, Yangang, Zhang, Fawang, Guan, Yang, Yu, Dongjie, Li, Shengbo Eben, Cheng, Bo, Zhao, Lin
In this paper, we propose a new reinforcement learning (RL) algorithm, called encoding distributional soft actor-critic (E-DSAC), for decision-making in autonomous driving. Unlike existing RL-based decision-making methods, E-DSAC is suitable for situ
Externí odkaz:
http://arxiv.org/abs/2109.05540
Autor:
Duan, Jingliang, Yu, Dongjie, Li, Shengbo Eben, Wang, Wenxuan, Ren, Yangang, Lin, Ziyu, Cheng, Bo
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, 2021
In this paper, we propose a new state representation method, called encoding sum and concatenation (ESC), for the state representation of decision-making in autonomous driving. Unlike existing state representation methods, ESC is applicable to a vari
Externí odkaz:
http://arxiv.org/abs/2105.11299
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 15 May 2022 594
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.