What Matters for Dexterous RL?
Reading notes on dexterous RL: reset distributions, goal-conditioned pretraining, structured exploration, motion tracking, contact priors and simulation.
Reinforcement-Learning
Fantastic Mega-Scale RL Recipes and where to find them
Reading notes on Mega-Scale RL: batches, multiple policies, reset distributions and off-policy methods.
A Hitchhiker's Guide To Diffusion RL
My reading notes on diffusion / flow post-training, comparing the approaches used in image/video generation and robotics.