Multi-fidelity reinforcement learning framework for shape optimization

no code implementations • 22 Feb 2022 • Sahil Bhola, Suraj Pawar, Prasanna Balaprakash, Romit Maulik

One key limitation of conventional DRL methods is their episode-hungry nature which proves to be a bottleneck for tasks which involve costly evaluations of a numerical forward model.

reinforcement-learning Reinforcement Learning (RL) +1