Chao Gao

Ph.D

university of Alberta

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Papers22 papers

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Search and Learning Algorithms for Two Player Games with Application to the Game of Hex

Chao Gao

(2020)

Bibtex

Pommerman & NeurIPS 2018

Cinjon Resnick,Chao Gao, Görög Márton, Takayuki Osogami,Liang Pang, Toshihiro Takahashi

The NeurIPS'18 Competition, pp.11-36, (2020)

Bibtex

Safer Deep RL with Shallow MCTS: A Case Study in Pommerman

Bilal Kartal,Pablo Hernandez-Leal,Chao Gao,Matthew E. Taylor

arXiv: Learning, (2019)

EIBibtex

Three Head Neural Network Architecture for AlphaZero Learning

Chao Gao, Martin Mueller, Ryan Hayward,Hengshuai Yao, Shangling Jui

(2019)

Bibtex

TCT-186 Preclinical Evaluation of a Novel Thin-Strut PLLA Bioresorbable Scaffold in Porcine Coronary Artery at 6-Month Follow-Up

Kuniaki Takahashi, Yuki Katagiri,Mariusz Tomaniak, Ply Chichareon,Rodrigo Modolo,Norihiro Kogame,Chun-Chin Chang, Masafumi Ono, Hideyuki Kawashima,Chao Gao, Nial Bullett, Naveed Ahmed

Journal of the American College of Cardiology, no. 13 (2019)

Bibtex

On Hard Exploration for Reinforcement Learning - A Case Study in Pommerman

Chao Gao, Bilal Kartal,Pablo Hernandez-Leal,Matthew E. Taylor

AIIDE, pp.24-30, (2019)

Cited by3EIBibtex

Hex 2018: MoHex3HNN over DeepEzo

Chao Gao, Kei Takada,Ryan Hayward

ICGA JOURNAL, no. 1 (2019): 39-42

EIBibtex

BASNet - Boundary-Aware Salient Object Detection

Xuebin Qin,Zichen Zhang,Chenyang Huang,Chao Gao,Masood Dehghan,Martin Jägersand

CVPR, pp.7479-7489, (2019)

Cited by91EIBibtex

Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition

Chao Gao,Pablo Hernandez-Leal, Bilal Kartal,Matthew E. Taylor

arXiv: Multiagent Systems, (2019)

EIBibtex

2018 New Taipei City Computer Olympiad Report

Chao Gao, Kei Takada, Ryan Hayward

ICGA Journal, (2019): 39-42

Bibtex

Adversarial Policy Gradient for Alternating Markov Games

Chao Gao, Martin Mueller,Ryan B. Hayward

international conference on learning representations, (2018)

Cited by1EIBibtex

A transferable neural network for Hex

Chao Gao, Siqi Yan,Ryan Hayward,Martin Müller

ICGA JOURNAL, no. 3 (2018): 224-233

EIBibtex

Three-Head Neural Network Architecture for Monte Carlo Tree Search

Chao Gao,Martin Müller,Ryan Hayward

IJCAI, pp.3762-3768, (2018)

Cited by9EIBibtex

Move Prediction Using Deep Convolutional Neural Networks in Hex

Chao Gao, Ryan Hayward,Martin Müller

IEEE Transactions on Games, no. 4 (2018): 336-343

Cited by12EIWOSBibtex

Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex

Chao Gao,Martin Müller,Ryan Hayward

IJCAI, pp.3668-3674, (2017)

Cited by7EIBibtex

An iterative pseudo-gap enumeration approach for the Multidimensional Multiple-choice Knapsack Problem

Gao Chao, Lu Guanzhou,Yao Xin,Li Jinlong

European Journal of Operational Research, no. 1 (2017): 1-11

Cited by8EIBibtex

A Stochastic Local Search Heuristic for the Multidimensional Multiple-choice Knapsack Problem

Youxin Xia,Chao Gao,Jinlong Li

Communications in Computer and Information Science, (2015): 513-522

EIBibtex

An efficient local search heuristic with row weighting for the unicost set covering problem

Gao Chao,Yao Xin,Weise Thomas,Li Jinlong

European Journal of Operational Research, no. 3 (2015): 750-761

Cited by16EIBibtex

A weighting-based local search heuristic algorithm for the Set Covering Problem

Chao Gao,Thomas Weise,Jinlong Li

IEEE Congress on Evolutionary Computation, pp.826-831, (2014)

Cited by2EIWOSBibtex

Improve the 3-flip Neighborhood Local Search by Random Flat Move for the Set Covering Problem

Chao Gao,Thomas Weise,Jinlong Li

ADVANCES IN SWARM INTELLIGENCE, PT1, (2014): 27-35

Cited by1EIBibtex

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Chao GaoBinding

Papers22 papers

Chao Gao