Lucas

transformer_vq. Official implementation of 'Transformer-VQ: Linear-Time Transformers via Vector Quantization'

pytorch_rl2. My implementations of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning' and 'A Simple Neural Attentive Meta-Learner'

mu_transformer. Official implementation of 'A Large-Scale Exploration of mu-Transfer'

pytorch_ppo_atari. My implementation of 'Proximal Policy Optimization', supporting parallel experience collection and data-parallel training.

e-lra. Streamlined variant of Long-Range Arena with pinned dependencies, automated data downloads, and deterministic shuffling.

letterbox_generator. Generate NYT-style 'Letter Boxed' games!

pytorch_drl. Deep reinforcement learning algorithms implemented in Pytorch.

pytorch_wgan_gp. Implementation of a Wasserstein GAN with Gradient Penalty, using Pytorch.