| Gnu-RL: A precocial reinforcement learning solution for building HVAC control using a Differentiable MPC policy B Chen, Z Cai, M Bergés Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 110 | 2019 |
| Enforcing policy feasibility constraints through differentiable projection for energy optimization B Chen, PL Donti, K Baker, JZ Kolter, M Bergés Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021 | 37 | 2021 |
| AlphaBuilding ResCommunity: A multi-agent virtual testbed for community-level load coordination Z Wang, B Chen, H Li, T Hong Advances in Applied Energy 4, 100061, 2021 | 24 | 2021 |
| Learn-to-race: A multimodal control environment for autonomous racing J Herman, J Francis, S Ganju, B Chen, A Koul, A Gupta, A Skabelkin, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 24 | 2021 |
| Learning a distributed control scheme for demand flexibility in thermostatically controlled loads B Chen, W Yao, J Francis, M Bergés 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 20 | 2020 |
| COHORT: Coordination of heterogeneous thermostatically controlled loads for demand flexibility B Chen, J Francis, M Pritoni, S Kar, M Bergés Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020 | 14 | 2020 |
| Gnu-rl: A practical and scalable reinforcement learning solution for building hvac control using a differentiable mpc policy B Chen, Z Cai, M Bergés Frontiers in Built Environment 6, 562239, 2020 | 13 | 2020 |
| Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring J Liu, B Chen, S Chen, M Bergés, J Bielak, HY Noh ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
| Learning to solve ac optimal power flow by differentiating through holomorphic embeddings H Lange, B Chen, M Berges, S Kar arXiv preprint arXiv:2012.09622, 2020 | 10 | 2020 |
| Learn-to-race challenge 2022: Benchmarking safe learning and cross-domain generalisation in autonomous racing J Francis, B Chen, S Ganju, S Kathpal, J Poonganam, A Shivani, V Vyas, ... arXiv preprint arXiv:2205.02953, 2022 | 8 | 2022 |
| Safe autonomous racing via approximate reachability on ego-vision B Chen, J Francis, J Oh, E Nyberg, SL Herbert arXiv preprint arXiv:2110.07699, 2021 | 8 | 2021 |
| Does the income elasticity of road traffic depend on the source of income? S Le Vine, BE Chen, J Polak Transportation Research Part A: Policy and Practice 67, 15-29, 2014 | 8 | 2014 |
| Ten questions concerning reinforcement learning for building energy management Z Nagy, G Henze, S Dey, J Arroyo, L Helsen, X Zhang, B Chen, ... Building and Environment, 110435, 2023 | 4 | 2023 |
| Learning to adapt to domain shifts with few-shot samples in anomalous sound detection B Chen, L Bondi, S Das 2022 26th International Conference on Pattern Recognition (ICPR), 133-139, 2022 | 3 | 2022 |
| Towards off-policy evaluation as a prerequisite for real-world reinforcement learning in building control B Chen, M Jin, Z Wang, T Hong, M Bergés Proceedings of the 1st International Workshop on Reinforcement Learning for …, 2020 | 3 | 2020 |
| Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation B Chen, J Liu, H Lange, M Bergés ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery P Huang, X Zhang, Z Cao, S Liu, M Xu, W Ding, J Francis, B Chen, ... arXiv preprint arXiv:2306.15864, 2023 | 1 | 2023 |
| Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving J Francis, B Chen, W Yao, E Nyberg, J Oh arXiv preprint arXiv:2212.08729, 2022 | | 2022 |
| Towards Safe and Sample-efficient Learning for Autonomous Energy Systems B Chen Carnegie Mellon University, 2022 | | 2022 |
| Safety-aware Policy Optimisation for Autonomous Racing B Chen, J Francis, J Herman, J Oh, E Nyberg, SL Herbert | | 2021 |
Mario BergésProfessor, Civil and Environmental Engineering Department, Carnegie Mellon UniversityVerified email at cmu.edu
