Fei Fang
Cited by
Cited by
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
When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.
F Fang, P Stone, M Tambe
IJCAI 15, 2589-2595, 2015
Stackelberg security games: Looking beyond a decade of success
A Sinha, F Fang, B An, C Kiekintveld, M Tambe
IJCAI, 2018
Deploying paws: Field optimization of the protection assistant for wildlife security
F Fang, T Nguyen, R Pickles, W Lam, G Clements, B An, A Singh, ...
Proceedings of the AAAI Conference on Artificial Intelligence 30 (2), 3966-3973, 2016
" 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
Protecting moving targets with multiple mobile resources
F Fang, AX Jiang, M Tambe
Journal of Artificial Intelligence Research 48, 583-634, 2013
Deceiving cyber adversaries: A game theoretic approach
A Schlenker, O Thakoor, H Xu, F Fang, M Tambe, L Tran-Thanh, ...
AAMAS'18: Proceedings of the 17th International Conference on Autonomous …, 2018
Spatio-temporal pricing for ridesharing platforms
H Ma, F Fang, DC Parkes
ACM SIGecom Exchanges 18 (2), 53-57, 2020
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
Evolutionary population curriculum for scaling multi-agent reinforcement learning
Q Long, Z Zhou, A Gupta, F Fang, Y Wu, X Wang
arXiv preprint arXiv:2003.10423, 2020
Robust protection of fisheries with compass
W Haskell, D Kar, F Fang, M Tambe, S Cheung, E Denicola
Proceedings of the AAAI Conference on Artificial Intelligence 28 (2), 2978-2983, 2014
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
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
Artificial intelligence for social good: A survey
ZR Shi, C Wang, F Fang
arXiv preprint arXiv:2001.01818, 2020
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
Airsim-w: A simulation environment for wildlife conservation with uavs
E Bondi, D Dey, A Kapoor, J Piavis, S Shah, F Fang, B Dilkina, ...
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018
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, ...
International Conference on Autonomous Agents and Multiagent Systems, 2017
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
Mitigating manipulation in peer review via randomized reviewer assignments
S Jecmen, H Zhang, R Liu, N Shah, V Conitzer, F Fang
Advances in Neural Information Processing Systems 33, 12533-12545, 2020
Trends and applications in Stackelberg security games
D Kar, TH Nguyen, F Fang, M Brown, A Sinha, M Tambe, AX Jiang
Handbook of dynamic game theory, 1-47, 2017
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