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2003.02740
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Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
5 March 2020
Yongle Luo
Kun Dong
Lili Zhao
Zhiyong Sun
Chao Zhou
Bo Song
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Papers citing
"Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty"
3 / 3 papers shown
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation
Zhehua Zhou
Yuheng Huang
Xuan Xie
Zhan Shu
Lei Ma
Dikai Liu
Jianxiong Yin
Simon See
284
41
0
31 Jul 2023
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal
M. Teichmann
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
253
2
0
15 Nov 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum
Journal of Intelligent and Robotic Systems (J. Intell. Robot. Syst.), 2022
Lingfeng Tao
Jiucai Zhang
Xiaoli Zhang
401
7
0
26 May 2022
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