Kevin Black

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support

Simulated experiments for "Real-Time Execution of Action Chunking Flow Policies".

Code for the paper "Training Diffusion Models with Reinforcement Learning"