Research notebook
Posts
Short notes on papers and ideas I found worth unpacking.
- Combining Sampling and Gradient Based Optimization for Control Control as inference, and on combining sampling with direct optimization
- Neural Lyapunov and Optimal Control HJB and it's connections to value learning and neural ODEs
- Neural Stochastic Optimal Control Learning value functions under stochastic HJB and it's connections to neural SDEs