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Found 8 papers, 2 papers with code
Rollout Heuristics for Online Stochastic Contingent Planning
POMCP develops an action-observation tree, and at the leaves, uses a rollout policy to provide a value estimate for the leaf.
Dyadic Reinforcement Learning
This presents opportunities in mobile health to design interventions that target the dyadic relationship -- the relationship between a target person and their care partner -- with the aim of enhancing social support.
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings
However, the high resolution of WSI practically prevent direct classification of the entire WSI.
Partial Disclosure of Private Dependencies in Privacy Preserving Planning
In collaborative privacy preserving planning (CPPP), a group of agents jointly creates a plan to achieve a set of goals while preserving each others' privacy.
A difficulty ranking approach to personalization in E-learning
EduRank constructs a difficulty ranking for each student by aggregating the rankings of similar students using different aspects of their performance on common questions.
Replanning in Domains with Partial Information and Sensing Actions
The state of the classical planning problem generated in this approach captures the belief state of the agent in the original problem.
An MDP-based Recommender System
We argue that it is more appropriate to view the problem of generating recommendations as a sequential decision problem and, consequently, that Markov decision processes (MDP) provide a more appropriate model for Recommender systems.
Improving Existing Fault Recovery Policies
In this paper we explain how to use data gathered from the interactions of the hand-made controller with the system, to create an optimized controller.
