Mila has many people working on reinforcement learning research. RL research often has a high bar for entry because of the system-level requirements to access and use hardware, environments and RL algorithms. We should pool our resources and skills to make it easier for students to perform RL research and advance our methods to tackle new research areas.

Topics for discussion

1. Using GPUs properly for RL
2. Multi-Processing for RL

Logging your experiments

1. Accessing RL environments

Distributed computing across computers

1. Making your code mobile (easy to run across different compute clusters)

Schedule