On the role of planning in model-based deep reinforcement learning. - Jessica B. Hamrick; Abram L. Friesen; Feryal M. P. Behbahani; Arthur Guez; Fabio Viola; Sims Witherspoon; Thomas Anthony 001; Lars Holger Buesing; Petar Velickovic; Theophane Weber (ICLR, 2021)

Semi-analytical Industrial Cooling System Model for Reinforcement Learning. - Yuri Chervonyi; Praneet Dutta; Piotr Trochim; Octavian Voicu; Cosmin Paduraru; Crystal Qian; Emre Karagozler; Jared Quincy Davis; Richard Chippendale; Gautam Bajaj; Sims Witherspoon; Jerry Luo (CoRR, 2022)

Controlling Commercial Cooling Systems Using Reinforcement Learning. - Jerry Luo; Cosmin Paduraru; Octavian Voicu; Yuri Chervonyi; Scott Munns; Jerry Li; Crystal Qian; Praneet Dutta; Jared Quincy Davis; Ningjia Wu; Xingwei Yang; Chu-Ming Chang; et al. (CoRR, 2022)

CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations. - Luis Piloto; Sofia Liguori; Sephora Madjiheurem; Miha Zgubic; Sean Lovett; Hamish Tomlinson; Sophie Elster; Chris Apps; Sims Witherspoon (CoRR, 2024)

The Ethics of Advanced AI Assistants. - Iason Gabriel; Arianna Manzini; Geoff Keeling; Lisa Anne Hendricks; Verena Rieser; Hasan Iqbal; Nenad Tomasev; Ira Ktena; Zachary Kenton; Mikel Rodriguez; Seliem El-Sayed; Sasha Brown; et al. (CoRR, 2024)

OPFData: Large-scale datasets for AC optimal power flow with topological perturbations. - Sean Lovett; Miha Zgubic; Sofia Liguori; Sephora Madjiheurem; Hamish Tomlinson; Sophie Elster; Chris Apps; Sims Witherspoon; Luis Piloto (CoRR, 2024)