-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
application of scenario optimization techniques that could be applied in between shots and between run days, to include model correction techniques and transfer learning to maximize success probability of SPARC
-
been extensively studied in game theory, reinforcement learning, and optimization, their full integration into modern AI systems (particularly in multi-agent deep learning and human-AI collaborative
Searches related to deep learning
Enter an email to receive alerts for deep-learning positions