A proposal to combine neural ODEs, physics-informed networks, and reinforcement learning for personalized radiopharmaceutical dosing, presented without experimental validation.
Lapan,Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CE 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics
A proposal to combine neural ODEs, physics-informed networks, and reinforcement learning for personalized radiopharmaceutical dosing, presented without experimental validation.