research
∙
06/19/2023
Practical First-Order Bayesian Optimization Algorithms
First Order Bayesian Optimization (FOBO) is a sample efficient sequentia...
share
research
∙
03/21/2023
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing
Bayesian Optimization (BO) is used to find the global optima of black bo...
research
∙
10/19/2021
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm
Learning optimal behavior from existing data is one of the most importan...
research
∙
05/10/2019
Reinforcement Learning in Non-Stationary Environments
Reinforcement learning (RL) methods learn optimal decisions in the prese...
research
∙
05/08/2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning
In cooperative stochastic games multiple agents work towards learning jo...
research
∙
02/11/2019
An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms
One of the popular measures of central tendency that provides better rep...
research
∙
01/11/2019
Change Point Detection for Compositional Multivariate Data
Change point detection algorithms have numerous applications in fields o...
research
∙
08/27/2017
