Stars
A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿
A small library to help create JSON-serializable configs for functions and classes
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
This is code to accompany the paper "Accelerating Exploration with Unlabeled Prior Data".
Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M frames. 🌈
Skeleton for scalable and flexible Jax RL implementations
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
A PyTorch library for Artificial General Intelligence (AGI)
Python library for creating periodic git backups of your codebase (e.g. right before launching an experiment).
Official PyTorch implementation of StyleGAN3
Code for "Learning to Reach Goals via Iterated Supervised Learning"
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Code for "Divide-and-Conquer Reinforcement Learning"
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
A Berkeley library for probability theory.
A subset of the IPython in-depth tutorial for a discussion with the Berkeley DS8 team