Fei Fang
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When security games go green: Designing defender strategies to prevent poaching and illegal fishing
F Fang, P Stone, M Tambe
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
1462015
" A Game of Thrones" When Human Behavior Models Compete in Repeated Stackelberg Security Games
D Kar, F Fang, F Delle Fave, N Sintov, M Tambe
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
1042015
Protecting moving targets with multiple mobile resources
F Fang, AX Jiang, M Tambe
Journal of Artificial Intelligence Research 48, 583-634, 2013
1022013
Protecting moving targets with multiple mobile resources
F Fang, AX Jiang, M Tambe
Journal of Artificial Intelligence Research 48, 583-634, 2013
1022013
Robust protection of fisheries with compass
W Haskell, D Kar, F Fang, M Tambe, S Cheung, E Denicola
Twenty-Sixth IAAI Conference, 2014
972014
Deploying PAWS: Field optimization of the protection assistant for wildlife security
F Fang, TH Nguyen, R Pickles, WY Lam, GR Clements, B An, A Singh, ...
Twenty-eighth IAAI conference, 2016
922016
Cloudy with a chance of poaching: Adversary behavior modeling and forecasting with real-world poaching data
D Kar, B Ford, S Gholami, F Fang, A Plumptre, M Tambe, M Driciru, ...
ACM, 2017
502017
Stackelberg security games: Looking beyond a decade of success
A Sinha, F Fang, B An, C Kiekintveld, M Tambe
IJCAI, 2018
492018
Patrol strategies to maximize pristine forest area
MP Johnson, F Fang, M Tambe
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
492012
Spot poachers in action: Augmenting conservation drones with automatic detection in near real time
E Bondi, F Fang, M Hamilton, D Kar, D Dmello, J Choi, R Hannaford, ...
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
412018
Deceiving cyber adversaries: A game theoretic approach
A Schlenker, O Thakoor, H Xu, M Tambe, P Vayanos, F Fang, ...
International Conference on Autonomous Agents and Multiagent Systems, 2018
412018
Taking it for a test drive: a hybrid spatio-temporal model for wildlife poaching prediction evaluated through a controlled field test
S Gholami, B Ford, F Fang, A Plumptre, M Tambe, M Driciru, F Wanyama, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
362017
PAWS—A deployed game-theoretic application to combat poaching
F Fang, TH Nguyen, R Pickles, WY Lam, GR Clements, B An, A Singh, ...
Ai Magazine 38 (1), 23-36, 2017
352017
Robust multi-agent reinforcement learning via minimax deep deterministic policy gradient
S Li, Y Wu, X Cui, H Dong, F Fang, S Russell
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4213-4220, 2019
302019
Spatio-temporal pricing for ridesharing platforms
H Ma, F Fang, DC Parkes
arXiv preprint arXiv:1801.04015, 2018
302018
What game are we playing? end-to-end learning in normal and extensive form games
CK Ling, F Fang, JZ Kolter
arXiv preprint arXiv:1805.02777, 2018
292018
Three strategies to success: Learning adversary models in security games
N Haghtalab, F Fang, TH Nguyen, A Sinha, AD Procaccia, M Tambe
252016
Solving zero-sum security games in discretized spatio-temporal domains
H Xu, F Fang, AX Jiang, V Conitzer, S Dughmi, M Tambe
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
252014
Optimal patrol planning for green security games with black-box attackers
H Xu, B Ford, F Fang, B Dilkina, A Plumptre, M Tambe, M Driciru, ...
International Conference on Decision and Game Theory for Security, 458-477, 2017
222017
Deep reinforcement learning for green security games with real-time information
Y Wang, ZR Shi, L Yu, Y Wu, R Singh, L Joppa, F Fang
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1401-1408, 2019
212019
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Artiklar 1–20