SIGKDD_2020

[KDD 2020] Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes

Apr 14, 2021

|

58 views

MIT Clinical Machine Learning

Details

Overview of our KDD 2020 paper: Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. Check out the paper here: https://arxiv.org/abs/2006.00927

Category: SIGKDD_2020

Comments

loading...

Reactions (0) | Note

📝 No reactions yet

Be the first one to share your thoughts!

Reactions(0)

Note

loading...

Recommended

ICAPS 2014: Jendrik Seipp on "Diverse and Additive Cartesian Abstraction Heuristics"

ICAPS | Apr 14, 2015

ICAPS 2014: Bram Ridder on "Heuristic Evaluation Based on Lifted Relaxed Planning Graphs"

ICAPS | Apr 14, 2015

ICAPS 2014: Richard Valenzano on "A Comparison of Knowledge-Based GBFS Enhancements and..."

ICAPS | Apr 15, 2015

ICAPS 2014: Florian Pommerening on "LP-Based Heuristics for Cost-Optimal Planning"

ICAPS | Apr 15, 2015

ICAPS 2014: Benjamin Cohen on "Single- and Dual-Arm Motion Planning with Heuristic Search"

ICAPS | Apr 15, 2015