@article{tao2024maniskill3,title={ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI},author={Tao, Stone and Xiang, Fanbo and Shukla, Arth and Qin, Yuzhe and Hinrichsen, Xander and Yuan, Xiaodi and Bao, Chen and Lin, Xinsong and Liu, Yulin and Chan, Tse-kai and Gao, Yuan and Li, Xuanlin and Mu, Tongzhou and Xiao, Nan and Gurha, Arnav and Huang, Zhiao and Calandra, Roberto and Chen, Rui and Luo, Shan and Su, Hao},journal={arXiv preprint arXiv:2410.00425},year={2024},}
2023
Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency
@inproceedings{tao2023reverse,title={Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency},author={Tao, Stone and Shukla, Arth and Chan, Tse-kai and Su, Hao},booktitle={The Twelfth International Conference on Learning Representations},year={2023},}
2022
Quantum Coins for Non-Power-of-Two States - Implementation and Performance on Quantum Walk and Quantum Walk Search Algorithms
Tse Kai Chan
In 2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) , 2022
@inproceedings{9719105,author={Chan, Tse Kai},booktitle={2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)},title={Quantum Coins for Non-Power-of-Two States - Implementation and Performance on Quantum Walk and Quantum Walk Search Algorithms},year={2022},volume={},number={},pages={724-734},keywords={Quantum computing;Program processors;Simulation;IEEE Sections;Conferences;Computer applications;Search problems;Quantum Walk;Quantum Walk Search;Quantum Coin;Three States;Non-Power-of-Two States},doi={10.1109/ICPECA53709.2022.9719105},}
