Search Results for author:
Found 3 papers, 0 papers with code
Polaris: A Safety-focused LLM Constellation Architecture for Healthcare
We train our models on proprietary data, clinical care plans, healthcare regulatory documents, medical manuals, and other medical reasoning documents.
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare
Reinforcement learning (RL) has been extensively researched for enhancing human-environment interactions in various human-centric tasks, including e-learning and healthcare.
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem
Overall, our results show that the effectiveness of InferNet is robust against noisy reward functions and is an effective add-on mechanism for solving temporal CAP in a wide range of RL tasks, from classic RL simulation environments to a real-world RL problem and for both online and offline learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
