A new potential-based reward shaping for reinforcement learning agent B Badnava, M Esmaeili, N Mozayani, P Zarkesh-Ha 2023 IEEE 13th Annual Computing and Communication Workshop and Conference …, 2023 | 23 | 2023 |
Sampling-based nonlinear MPC of neural network dynamics with application to autonomous vehicle motion planning I Askari, B Badnava, T Woodruff, S Zeng, H Fang 2022 American Control Conference (ACC), 2084-2090, 2022 | 11 | 2022 |
Improving demand‐response scheme in smart grids using reinforcement learning R Bagherpour, N Mozayani, B Badnava International Journal of Energy Research 45 (15), 21082-21095, 2021 | 8 | 2021 |
Spectrum-aware mobile edge computing for uavs using reinforcement learning B Badnava, T Kim, K Cheung, Z Ali, M Hashemi 2021 IEEE/ACM Symposium on Edge Computing (SEC), 376-380, 2021 | 7 | 2021 |
Deep reinforcement learning for online latency aware workload offloading in mobile edge computing Z Akhavan, M Esmaeili, B Badnava, M Yousefi, X Sun, M Devetsikiotis, ... GLOBECOM 2022-2022 IEEE Global Communications Conference, 2218-2223, 2022 | 5 | 2022 |
QoE-centric multi-user mmWave scheduling: A beam alignment and buffer predictive approach B Badnava, SR Chintareddy, M Hashemi 2022 IEEE International Symposium on Information Theory (ISIT), 736-741, 2022 | 4 | 2022 |
Energy-efficient deadline-aware edge computing: Bandit learning with partial observations in multi-channel systems B Badnava, K Roach, K Cheung, M Hashemi, NB Shroff GLOBECOM 2023-2023 IEEE Global Communications Conference, 3081-3086, 2023 | 1 | 2023 |
Optimizing Dynamic Pricing Demand Response Algorithm Using Reinforcement Learning in Smart Grid R Bagherpour, N Mozayani, B Badnava 2020 25th International Computer Conference, Computer Society of Iran (CSICC …, 2020 | 1 | 2020 |