activity
20132018
most citedMAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

34 citations · 42 across the 6 of their papers we have counts for

collaborators

7 papers

cs.IT20181 cited

Reed-Muller Sequences for 5G Grant-free Massive Access

Huazi Zhang, Rong Li, Jun Wang +2

We propose to use second order Reed-Muller (RM) sequence for user identification in 5G grant-free access. The benefits of RM sequences mainly lie in two folds, (i) support of much…

cs.IT20184 cited

Parity-Check Polar Coding for 5G and Beyond

Huazi Zhang, Rong Li, Jian Wang +5

In this paper, we propose a comprehensive Polar coding solution that integrates reliability calculation, rate matching and parity-check coding. Judging a channel coding design from…

cs.MA20171 cited

Happiness Pursuit: Personality Learning in a Society of Agents

Rafał Muszyński, Jun Wang

Modeling personality is a challenging problem with applications spanning computer games, virtual assistants, online shopping and education. Many techniques have been tried, ranging…

cs.LG201734 cited

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

Lianmin Zheng, Jiacheng Yang, Han Cai +3

We introduce MAgent, a platform to support research and development of many-agent reinforcement learning. Unlike previous research platforms on single or multi-agent reinforcement…

cs.LG2016

Feature Selection as a Multiagent Coordination Problem

Kleanthis Malialis, Jun Wang, Gary Brooks +1

Datasets with hundreds to tens of thousands features is the new norm. Feature selection constitutes a central problem in machine learning, where the aim is to derive a representati…

cs.CR20151 cited

Instantly Obsoleting the Address-code Associations: A New Principle for Defending Advanced Code Reuse Attack

Ping Chen, Jun Xu, Jun Wang +1

Fine-grained Address Space Randomization has been considered as an effective protection against code reuse attacks such as ROP/JOP. However, it only employs a one-time randomizatio…