research
∙
10/12/2020
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
We propose AttendLight, an end-to-end Reinforcement Learning (RL) algori...
share
research
∙
06/06/2020
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
This work presents a new algorithm for empirical risk minimization. The ...
research
∙
05/30/2019
Scaling Up Quasi-Newton Algorithms: Communication Efficient Distributed SR1
In this paper, we present a scalable distributed implementation of the s...
research
∙
05/30/2019
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework
Although reinforcement learning (RL) can provide reliable solutions in m...
research
∙
05/13/2019
Multi-Agent Image Classification via Reinforcement Learning
We investigate a classification problem using multiple mobile agents tha...
research
∙
02/12/2018
Deep Reinforcement Learning for Solving the Vehicle Routing Problem
We present an end-to-end framework for solving Vehicle Routing Problem (...
research
∙
08/20/2017
A Deep Q-Network for the Beer Game: A Reinforcement Learning algorithm to Solve Inventory Optimization Problems
The beer game is a widely used in-class game that is played in supply ch...
research
∙
08/20/2017
