| Augmenting reinforcement learning with a planning model for optimizing energy demand response L Spangher, A Gokul, M Khattar, J Palakapilly, U Agwan, A Tawade, ... Proceedings of the 1st International Workshop on Reinforcement Learning for …, 2020 | 15 | 2020 |
| Prospective experiment for reinforcement learning on demand response in a social game framework L Spangher, A Gokul, M Khattar, J Palakapilly, A Tawade, A Bouyamourn, ... Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020 | 13 | 2020 |
| Engineering vs. ambient type visualizations: Quantifying effects of different data visualizations on energy consumption L Spangher, A Tawade, A Devonport, C Spanos Proceedings of the 1st ACM International Workshop on Urban Building Energy …, 2019 | 13 | 2019 |
| Tidal rewetting in salt marshes triggers pulses of nitrous oxide emissions but slows carbon dioxide emission HE Emery, JH Angell, A Tawade, RW Fulweiler Soil Biology and Biochemistry 156, 108197, 2021 | 6 | 2021 |
| Persistence of Energy Reduction Behaviors Following a Competition: A Quantitative Approach with Regression and Cluster-Based Learning A Tawade, L Spangher, T Schröder, T Pollack, C Spanos 2020 ACEEE Summer Study on Energy Efficiency in Buildings 8, 365, 2020 | | 2020 |
| The Effects of Tidal Restriction, Phragmites australis Invasion, and Precipitation Change on Salt Marsh Greenhouse Gas Emissions HE Emery Boston University, 2018 | | 2018 |
| Pulsed emissions after tidal rewetting are an important constituent of salt marsh N2O budgets HE Emery, JH Angell, A Tawade, RW Fulweiler The effects of tidal restriction, Phragmites australis invasion, and …, 2018 | | 2018 |
| Salt marsh microbial community change and trace greenhouse gas fluxes under precipitation intensification H Emery, J Angell, A Tawade, RW Fulweiler 24th Biennial CERF Conference, 2017 | | 2017 |
| Testing RL with Planning for Demand Response in an Energy Social Game L Spangher, A Bouyamourn, M Khattar, A Tawade, A Gokul, A Devonport, ... | | |
| A Prospective Human-in-the-Loop Experiment using Reinforcement Learning with Planning for Optimizing Energy Demand Response L Spangher, A Bouyamourn, M Khattar, A Tawade, A Gokul, A Devonport, ... | | |
