Parameter sharing for heterogeneous agents in multi-agent reinforcement learning JK Terry, N Grammel, S Son, B Black, A Aakriti arXiv preprint arXiv:2005.13625, 2020 | 102* | 2020 |
Rtaw: An attention inspired reinforcement learning method for multi-robot task allocation in warehouse environments A Agrawal, AS Bedi, D Manocha 2023 IEEE International Conference on Robotics and Automation (ICRA), 1393-1399, 2023 | 15 | 2023 |
WAVES: Benchmarking the Robustness of Image Watermarks B An, M Ding, T Rabbani, A Agrawal, Y Xu, C Deng, S Zhu, A Mohamed, ... Forty-first International Conference on Machine Learning, 2024 | 11* | 2024 |
Mid-flight propeller failure detection and control of propeller-deficient quadcopter using reinforcement learning R Arasanipalai, A Agrawal, D Ghose arXiv preprint arXiv:2002.11564, 2020 | 8 | 2020 |
Dc-mrta: Decentralized multi-robot task allocation and navigation in complex environments A Agrawal, S Hariharan, AS Bedi, D Manocha 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 7 | 2022 |
Accurate Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method for High-speed Target Interception A Agrawal, A Bhise, R Arasanipalai, LA Tony, S Jana, D Ghose Artificial Intelligence for Robotics and Autonomous Systems Applications, 93-122, 2023 | 1 | 2023 |
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning A Agrawal, R Aralikatti, Y Sun, F Huang https://arxiv.org/abs/2310.08746, 2023 | | 2023 |
Learning when to trust which teacher for weakly supervised ASR A Agrawal, M Rao, AK Sahu, G Chennupati, A Stolcke arXiv preprint arXiv:2306.12012, 2023 | | 2023 |
A Comparative Study of Noise Cancellation Using Least Mean Squares Adaptive Filter and Recurrent Neural Network Filter A Agrawal, R Arasanipalai, B Sainath 2018 2nd International Conference on Power, Energy and Environment: Towards …, 2018 | | 2018 |