research
∙
11/09/2022
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning
Learning an explainable classifier often results in low accuracy model o...
share
research
∙
10/26/2021
Event-triggered Consensus of Matrix-weighted Networks Subject to Actuator Saturation
The ubiquitous interdependencies among higher-dimensional states of neig...
research
∙
04/23/2019
Baconian: A Unified Opensource Framework for Model-Based Reinforcement Learning
Model-Based Reinforcement Learning (MBRL) is one category of Reinforceme...
research
∙
05/24/2018
Intelligent Trainer for Model-Based Reinforcement Learning
Model-based deep reinforcement learning (DRL) algorithm uses the sampled...
research
∙
09/15/2017
Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning
Cooling system plays a key role in modern data center. Developing an opt...
research
∙
08/15/2016
