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
Distributed computing across computers
Schedule
Time | Speaker | Topic |
---|---|---|
1pm-1:30 pm | Gev (Aim) | Experiment tracking |
1:30 - 2pm | Max Schwarzer | Jax for the PyTorch Native |
2 - 2:30pm | Jacob Buckman | Maximizing GPU throughput in RL |
2:30 - 3pm | Melissa/Johanna | Sim2Real Robotics mini-tutorial |
3:30 - 4pm | Jesse Farebrother | Code Mobility |
4 - 4:30pm | Niki Howe | Myriad: a real-world testbed to bridge trajectory optimization and deep learning |
4:30 - 5pm | Darhsan Patil | RLHive |