Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms S Huang, RFJ Dossa, C Ye, J Braga, D Chakraborty, K Mehta, ... Journal of Machine Learning Research 23 (274), 1-18, 2022 | 122 | 2022 |
W-net: Reinforced u-net for density map estimation VK Valloli, K Mehta arXiv preprint arXiv:1903.11249, 2019 | 49 | 2019 |
RoRD: Rotation-robust descriptors and orthographic views for local feature matching US Parihar, A Gujarathi, K Mehta, S Tourani, S Garg, M Milford, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 25* | 2021 |
ReF--Rotation Equivariant Features for Local Feature Matching A Peri, K Mehta, A Mishra, M Milford, S Garg, KM Krishna arXiv preprint arXiv:2203.05206, 2022 | 9 | 2022 |
Effects of spectral normalization in multi-agent reinforcement learning K Mehta, A Mahajan, P Kumar 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 6 | 2023 |
Marl-jax: Multi-agent reinforcement leaning framework for social generalization K Mehta, A Mahajan, P Kumar Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 2 | 2023 |
Data Generation Using Sequence-to-Sequence A Joshi, K Mehta, N Gupta, VK Valloli 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 108-112, 2018 | 2 | 2018 |
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ... arXiv preprint arXiv:2402.03046, 2024 | 1 | 2024 |
Indian Language Transliteration Using Deep Learning A Joshi, K Mehta, N Gupta, VK Valloli 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 103-107, 2018 | 1 | 2018 |
Understanding Learning in Multi-Agent Reinforcement Learning K Mehta International Institute of Information Technology, Hyderabad, 2023 | | 2023 |