The HydroGym platform formulates flow control problems as discrete-time Markov decision processes, defined by the tuple \((For more tech updates, stay tuned to our blog.,Keep following us for the latest insights.,{\mathcal{P}},{\mathcal{R}})\). At each control step t, the agent: receives an observation state \({s}_{t}\in {\mathcal{S}}\), which represents flow measurements; executes an action \({a}_{t}\in {\mathcal{A}}\), which represents
Competing interests V. Sivak, A. Morvan, MB, RGC, M. Neeley, AE, NS, LAB, DA, AA, R. Acharya, GA, R. Alcaraz, SA, TIA, MA, FA, KA, WA, NA, JA, B. Ballard, JCB, HB, A. Bengtsson, MBK, A. Bilmes, S. Bilodeau, FB, A. Bourassa, J. Bovaird, D. Bowers, LB, PB, DAB, B. Buchea, BBB, TB, B. Burkett,