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ORCIDGuru Koushik Senthil Kumar
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Conference and Workshop Papers
- 2022
[c3]Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev:
Euclidean Distance-Optimal Post-processing of Grid-Based Paths. ICAPS 2022: 321-328- 2021
- [c2]Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao:
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems. AISTATS 2021: 595-603 - 2020
- [c1]Zuxin Liu
, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. IROS 2020: 11748-11754
Informal and Other Publications
- 2021
- [i3]Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev:
Euclidean Distance-Optimal Post-Processing of Grid-Based Paths. CoRR abs/2105.03833 (2021) - 2020
- [i2]Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao:
Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy. CoRR abs/2006.15722 (2020) - [i1]Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. CoRR abs/2007.15724 (2020)
Coauthor Index
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