research
∙
03/22/2023
Reinforcement Learning with Exogenous States and Rewards
Exogenous state variables and rewards can slow reinforcement learning by...
share
research
∙
01/23/2020
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient
Multi-objective Neural Architecture Search (NAS) aims to discover novel ...
research
∙
07/08/2019
Comparing EM with GD in Mixture Models of Two Components
The expectation-maximization (EM) algorithm has been widely used in mini...
research
∙
07/06/2019
Node-Constrained Traffic Engineering: Theory and Applications
Traffic engineering (TE) is a fundamental task in networking. Convention...
research
∙
06/05/2018
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
Exogenous state variables and rewards can slow down reinforcement learni...
research
∙
11/13/2015