Policy Learning for Off-Dynamics RL with Deficient Support

1 code implementation • 16 Feb 2024 • Linh Le Pham Van, Hung The Tran, Sunil Gupta

It is anchored in the central concepts of the skewing and extension of source support towards target support to mitigate support deficiencies.

Reinforcement Learning (RL)

PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks

no code implementations • 5 Feb 2024 • Dat Phan-Trong, Hung The Tran, Alistair Shilton, Sunil Gupta

Black-box optimization is a powerful approach for discovering global optima in noisy and expensive black-box functions, a problem widely encountered in real-world scenarios.