Fei Fang
Title
Cited by
Cited by
Year
When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.
F Fang, P Stone, M Tambe
IJCAI, 2589-2595, 2015
1642015
" 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
1162015
Protecting moving targets with multiple mobile resources
F Fang, AX Jiang, M Tambe
Journal of Artificial Intelligence Research 48, 583-634, 2013
1072013
Protecting moving targets with multiple mobile resources
F Fang, AX Jiang, M Tambe
Journal of Artificial Intelligence Research 48, 583-634, 2013
1072013
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, ...
AAAI 16, 3966-3973, 2016
1052016
Robust protection of fisheries with compass
W Haskell, D Kar, F Fang, M Tambe, S Cheung, E Denicola
Twenty-Sixth IAAI Conference, 2014
1012014
Stackelberg security games: Looking beyond a decade of success
A Sinha, F Fang, B An, C Kiekintveld, M Tambe
IJCAI, 2018
712018
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 (01), 4213-4220, 2019
662019
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
662018
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
562017
Patrol strategies to maximize pristine forest area
M Johnson, F Fang, M Tambe
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
552012
Patrol strategies to maximize pristine forest area
M Johnson, F Fang, M Tambe
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
552012
Spatio-temporal pricing for ridesharing platforms
H Ma, F Fang, DC Parkes
ACM SIGecom Exchanges 18 (2), 53-57, 2020
542020
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, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
512018
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
442017
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
382017
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
372018
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 (01), 1401-1408, 2019
312019
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
282017
Computational sustainability: Computing for a better world and a sustainable future
C Gomes, T Dietterich, C Barrett, J Conrad, B Dilkina, S Ermon, F Fang, ...
Communications of the ACM 62 (9), 56-65, 2019
272019
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Articles 1–20