| Machine learning based real-time vehicle data analysis for safe driving modeling P Yadav, S Jung, D Singh Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1355-1358, 2019 | 10 | 2019 |
| An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits S Lee, J Park, H Suk, T Kim, P Yadav, S Kim International Conference on Multi-disciplinary Trends in Artificial …, 2021 | 9 | 2021 |
| LoRa based architecture for smart town traffic management system SB Seo, P Yadav, D Singh Multimedia Tools and Applications, 1-16, 2020 | 9 | 2020 |
| A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles P Yadav, A Mishra, S Kim Sensors 23 (10), 4710, 2023 | 7 | 2023 |
| A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization P Yadav, A Mishra, J Lee, S Kim arXiv preprint arXiv:2202.08444, 2022 | 5 | 2022 |
| OODA-RL: A Reinforcement Learning Framework For Artificial General Intelligence To Solve Open World Novelty P Yadav, T Kim, H Suk, J Lee, H Jeong, S Kim TechRxiv, 2021 | 4 | 2021 |
| Artificial Intelligence Accelerators A Mishra, P Yadav, S Kim Artificial Intelligence and Hardware Accelerators, 1-52, 2023 | 3 | 2023 |
| Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator H Suk, T Kim, H Park, P Yadav, J Lee, S Kim arXiv preprint arXiv:2211.10237, 2022 | 3 | 2022 |
| Neuromorphic Hardware Accelerators P Yadav, A Mishra, S Kim Artificial Intelligence and Hardware Accelerators, 225-268, 2023 | 1 | 2023 |
| Learning unsupervised disentangled skill latents to adapt unseen task and morphological modifications T Kim, P Yadav, H Suk, S Kim Engineering Applications of Artificial Intelligence 116, 105367, 2022 | 1 | 2022 |
| OODA loop for learning open-world novelty problems P Yadav, S Kim Elsevier, 2023 | | 2023 |
Shiho KimSchool of Integrated Technology, Yonsei UniversityGeverifieerd e-mailadres voor yonsei.ac.kr
