Learning Generalizable Policies for Assembly Sequence Planning

In this project, I formulate the assembly sequence planning as a combinatorial optimization problem over graphs and solve it with a graph-based reinforcement learning framework.

To implement the framework, I use Pybullet to build a simulation environment that assesses the physical feasibility of assembly operations.