A Rationale-Centric Framework for Human-in-the-loop Machine Learning
On 26 Mar, 2022 By admin 0 Comments
Machine Learning
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
On 26 Mar, 2022 By admin 0 Comments
Intelligent Systematic Investment Agent: an ensemble of deep learning and evolutionary strategies
On 26 Mar, 2022 By admin 0 Comments
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
On 26 Mar, 2022 By admin 0 Comments
Reinforcement Learning for Precision Oncology
On 18 Mar, 2022 By admin 0 Comments
September, 2021
Summary
The accelerating merger of information technology and cancer research heralds the advent of novel methods and models for clinical decision making in oncology. Reinforcement learning—as one of the major subspecialties in machine learning—holds the potential for the development of high-performance decision support tools. However, many recent studies of reinforcement learning in oncology suffer from common shortcomings and pitfalls that need to be addressed for the development of safe, interpretable and reliable algorithms for future clinical practice.
Experimental Quantum Speed-up in Reinforcement Learning Agents
On 18 Mar, 2022 By admin 0 Comments
A Rigorous and Robust Quantum Speed-up in Supervised Machine Learning
On 18 Mar, 2022 By admin 0 Comments
November, 2020
Abstract
Quantum Phase Recognition via Unsupervised Machine Learning
On 18 Mar, 2022 By admin 0 Comments
Scheduling with Predictions and the Price of Misprediction
On 18 Mar, 2022 By admin 0 Comments
Chip Placement with Deep Reinforcement Learning
On 18 Mar, 2022 By admin 0 Comments
April, 2020
Abstract