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11/27/2020
TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game
StarCraft, one of the most difficult esport games with long-standing his...
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11/25/2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
Competitive Self-Play (CSP) based Multi-Agent Reinforcement Learning (MA...
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07/20/2019
Arena: a toolkit for Multi-Agent Reinforcement Learning
We introduce Arena, a toolkit for multi-agent reinforcement learning (MA...
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10/10/2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Most existing deep reinforcement learning (DRL) frameworks consider eith...
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09/19/2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Starcraft II (SCII) is widely considered as the most challenging Real Ti...
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07/29/2018
A Margin-based MLE for Crowdsourced Partial Ranking
A preference order or ranking aggregated from pairwise comparison data i...
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03/08/2018
From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation
In crowdsourced preference aggregation, it is often assumed that all the...
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11/17/2017
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size
Learning representation from relative similarity comparisons, often call...
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11/16/2017
HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation
Recently, crowdsourcing has emerged as an effective paradigm for human-p...
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07/18/2017
Exploring Outliers in Crowdsourced Ranking for QoE
Outlier detection is a crucial part of robust evaluation for crowdsource...
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04/16/2017
Boosting with Structural Sparsity: A Differential Inclusion Approach
Boosting as gradient descent algorithms is one popular method in machine...
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05/19/2016
False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking
With the rapid growth of crowdsourcing platforms it has become easy and ...
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02/28/2015
Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs
Crowdsourcing platforms are now extensively used for conducting subjecti...
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01/25/2015
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels
The problem of estimating subjective visual properties from image and vi...
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06/30/2014