research
∙
04/22/2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
The adaptive traffic signal control (ATSC) problem can be modeled as a m...
share
research
∙
01/30/2021
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing
Transformer based knowledge tracing model is an extensively studied prob...
research
∙
05/27/2020
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
Arbitrary text appearance poses a great challenge in scene text recognit...
research
∙
08/07/2019
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization
Temporal action localization is an important yet challenging research to...
research
∙
11/19/2018
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
This paper proposes a segregated temporal assembly recurrent (STAR) netw...
research
∙
09/18/2018
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Although many reinforcement learning methods have been proposed for lear...
research
∙
03/08/2018
