CANCELLED • Seminar • Artificial Intelligence — Graph Guided Predictions
Please note: This seminar has been cancelled
Vikas Garg, Electrical Engineering & Computer Science
Massachusetts Institute of Technology
Vikas Garg, Electrical Engineering & Computer Science
Massachusetts Institute of Technology
Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science
Martin Gauch, Master’s candidate
David R. Cheriton School of Computer Science
Bahareh Sarrafzadeh, PhD candidate
David R. Cheriton School of Computer Science
Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science
Sushant Agarwal, Master’s candidate
David R. Cheriton School of Computer Science
Anil Pacaci, PhD candidate
David R. Cheriton School of Computer Science
Johann Wentzel, Master’s candidate
David R. Cheriton School of Computer Science
Colin Vandenhof, Master’s candidate
David R. Cheriton School of Computer Science
Reinforcement learning (RL) is a powerful tool for developing intelligent agents, and the use of neural networks makes RL techniques more scalable to challenging real-world applications, from task-oriented dialogue systems to autonomous driving. However, one of the major bottlenecks to the adoption of RL is efficiency, as it often takes many time steps to learn an acceptable policy.
Jan Gorzny, PhD candidate
David R. Cheriton School of Computer Science