In this talk, we will discuss how multi-agent simulation and learning can be performed in the TorchRL library. In particular, we will focus on showcasing TorchRL's MARL API through a series of examples and demos from the multi-robot systems domain.
The talk will begin by introducing the VectorizedMultiAgentSimulator (VMAS), a vectorized simulator comprised of a PyTorch physics engine and a collection of multi-robot tasks. It will then focus on discussing how this simulator is integrated in TorchRL training library to benefit from on-device batched simulation and training as well as illustrating the general API for integrating any MARL environment/game in the library.
Lastly, it will present an application of the components presented through a live demo of a full multi-agent training pipeline for a multi-robot navigation task.
"You can also join us on Zoom":https://cam-ac-uk.zoom.us/j/92041617729
