This codebase provides a PyTorch implementation of Protagonist Antagonist Induced Regret Environment Design (PAIRED), which was first introduced in “Emergent Complexity and Zero-Shot Transfer via Unsupervised Environment Design” (Dennis et al, 2020). This implementation comes integrated with custom adversarial maze environments based on MiniGrid environment (Chevalier-Boisvert et al, 2018), as used in Dennis et al, 2020. Unsupervised environment design (UED) methods propose a curriculum of tasks or environment instances (levels) that aims to foster more sample efficient learning and robust […]

Simple torch module implementation of Alias-Free GAN. This repository including Note: Since this repository is unofficial, filter and upsample could be different with official implementation. Note: 2d lowpass filter is applying sinc instead of jinc (first order Bessel function of the first kind) in paper Requirements Due to torch.kaiser_window and torch.i0 are implemeted after 1.7.0, our repository need torch>=1.7.0. TODO [x] 2d sinc filter [x] 2d resample [x] devide 1d and 2d modules [ ] pip packaging Test results 1d […]