activity
20192021
most citedTowards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning

3 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

eess.IV2021

Efficient Light Field Reconstruction via Spatio-Angular Dense Network

Zexi Hu, Henry Wing Fung Yeung, Xiaoming Chen +2

As an image sensing instrument, light field images can supply extra angular information compared with monocular images and have facilitated a wide range of measurement applications…

cs.LG2020

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

Meng Zhou, Ziyu Liu, Pengwei Sui +2

We present a multi-agent actor-critic method that aims to implicitly address the credit assignment problem under fully cooperative settings. Our key motivation is that credit assig…

cs.RO2020

Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques

Seid Miad Zandavi, Vera Chung, Ali Anaissi

This paper presents a new framework to use images as the inputs for the controller to have autonomous flight, considering the noisy indoor environment and uncertainties. A new Prop…

cs.NE2020

Multi-User Remote lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm

Seid Miad Zandavi, Vera Chung, Ali Anaissi

The scheduling of multi-user remote laboratories is modeled as a multimodal function for the proposed optimization algorithm. The hybrid optimization algorithm, hybridization of th…

cs.LG20193 cited

Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning

Ziyu Liu, Meng Zhou, Weiqing Cao +3

The game of Chinese Checkers is a challenging traditional board game of perfect information that differs from other traditional games in two main aspects: first, unlike Chess, all…