Hyunwoo Park

Adaptive imagination can transform limited target data into reliable rollouts, enabling robust sim-to-real transfer in visual reinforcement learning.

Recovering the exact architecture of a trained neural network after randomly shuffling its layers is possible, revealing inherent structural information retained within the weights.