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Long Tran-Thanh
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2020 – today
- 2023
- [j11]Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
:
Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. 37(1): 15 (2023) - [j10]Nhat Van-Quoc Truong
, Le Cong Dinh, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings:
Efficient and adaptive incentive selection for crowdsourcing contests. Appl. Intell. 53(8): 9204-9234 (2023) - [i37]Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh:
Achieving Better Regret against Strategic Adversaries. CoRR abs/2302.06652 (2023) - [i36]Viet Bach Nguyen, Truong Son-Hy, Long Tran-Thanh, Nhung Nghiem:
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study. CoRR abs/2305.07731 (2023) - 2022
- [c73]Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh:
Sequential Blocked Matching. AAAI 2022: 4834-4842 - [c72]Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti:
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. AAAI 2022: 8054-8061 - [c71]Minh-Hieu Phan
, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum:
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation. CVPR 2022: 16845-16854 - [c70]Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti:
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. IJCAI 2022: 3394-3400 - [c69]Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh:
Sequential Vaccine Allocation with Delayed Feedback. IJCAI 2022: 5199-5205 - [c68]Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh:
Expected Improvement for Contextual Bandits. NeurIPS 2022 - [c67]Thai Le
, Long Tran-Thanh, Dongwon Lee:
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. WWW 2022: 545-554 - [i35]Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR abs/2205.14831 (2022) - [i34]Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti:
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. CoRR abs/2208.13663 (2022) - [i33]Minh-Duong Nguyen, Quoc-Viet Pham, Dinh Thai Hoang, Long Tran-Thanh, Diep N. Nguyen
, Won-Joo Hwang:
Label driven Knowledge Distillation for Federated Learning with non-IID Data. CoRR abs/2209.14520 (2022) - [i32]Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh:
Multi-Player Bandits Robust to Adversarial Collisions. CoRR abs/2211.07817 (2022) - [i31]Nam Phuong Tran, The-Anh Ta, Long Tran-Thanh:
Invariant Lipschitz Bandits: A Side Observation Approach. CoRR abs/2212.07524 (2022) - 2021
- [j9]Andre P. Ortega, Sarvapali D. Ramchurn
, Long Tran-Thanh, Geoff V. Merrett:
Partner selection in self-organised wireless sensor networks for opportunistic energy negotiation: A multi-armed bandit based approach. Ad Hoc Networks 112: 102354 (2021) - [j8]Mashrur Rashik
, Md. Musfiqur Rahman, Md. Mosaddek Khan, Md. Mamun-Or-Rashid, Long Tran-Thanh, Nicholas R. Jennings
:
Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs. Appl. Intell. 51(3): 1733-1746 (2021) - [c66]Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh:
Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games. ALT 2021: 553-577 - [c65]Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh:
How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design. AAMAS 2021: 1464-1466 - [i30]Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Sequential Choice Bandits with Feedback for Personalizing users' experience. CoRR abs/2101.01572 (2021) - [i29]Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti:
Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. CoRR abs/2102.07711 (2021) - [i28]Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett:
Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms. CoRR abs/2105.03600 (2021) - [i27]Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett:
Optimising Resource Management for Embedded Machine Learning. CoRR abs/2105.03608 (2021) - [i26]Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh:
Sequential Blocked Matching. CoRR abs/2108.00073 (2021) - [i25]Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang:
Online Markov Decision Processes with Non-oblivious Strategic Adversary. CoRR abs/2110.03604 (2021) - [i24]Thai Le, Long Tran-Thanh, Dongwon Lee:
Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. CoRR abs/2110.10655 (2021) - [i23]Shivakumar Mahesh, Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh:
Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost. CoRR abs/2110.13532 (2021) - 2020
- [c64]Minming Li, Long Tran-Thanh, Xiaowei Wu:
Defending with Shared Resources on a Network. AAAI 2020: 2111-2118 - [c63]Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh:
Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek. AAAI 2020: 2252-2259 - [c62]Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh:
Bounding Regret in Empirical Games. AAAI 2020: 4280-4287 - [c61]Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings:
AED: An Anytime Evolutionary DCOP Algorithm. AAMAS 2020: 825-833 - [c60]Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede:
Continuous Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree Nodes a Good Strategy? AAMAS 2020: 1981-1983 - [c59]Ronald Gualán, Víctor Saquicela, Long Tran-Thanh:
Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations. CLEI 2020: 56-65 - [c58]Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett:
Optimising Resource Management for Embedded Machine Learning. DATE 2020: 1556-1561 - [c57]Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings:
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. IJCAI 2020: 268-275 - [c56]Hau Chan, Long Tran-Thanh, Vignesh Viswanathan:
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach. IJCAI 2020: 4322-4329 - [c55]Balint Gucsi, Danesh S. Tarapore, William Yeoh
, Christopher Amato
, Long Tran-Thanh:
To Ask or Not to Ask: A User Annoyance Aware Preference Elicitation Framework for Social Robots. IROS 2020: 7935-7940 - [c54]Nick Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh:
Adversarial Blocking Bandits. NeurIPS 2020 - [c53]Nick Bishop, Long Tran-Thanh, Enrico H. Gerding:
Optimal Learning from Verified Training Data. NeurIPS 2020 - [i22]Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings:
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. CoRR abs/2002.12001 (2020) - [i21]Le Cong Dinh, Long Tran-Thanh, Tri-Dung Nguyen, Alain B. Zemkoho:
Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information. CoRR abs/2003.11727 (2020) - [i20]Thomas O. M. Davies
, Jack Aspinall
, Bryan Wilder, Long Tran-Thanh:
Fuzzy c-Means Clustering for Persistence Diagrams. CoRR abs/2006.02796 (2020) - [i19]Le Cong Dinh, Nick Bishop, Long Tran-Thanh:
Exploiting No-Regret Algorithms in System Design. CoRR abs/2007.11172 (2020) - [i18]Guillermo Romero Moreno, Edoardo Manino, Long Tran-Thanh, Markus Brede:
Zealotry and Influence Maximization in the Voter Model: When to Target Zealots? CoRR abs/2008.10012 (2020)
2010 – 2019
- 2019
- [j7]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
:
On the efficiency of data collection for multiple Naïve Bayes classifiers. Artif. Intell. 275: 356-378 (2019) - [c52]Youzhi Zhang
, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings:
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. AAAI 2019: 1262-1269 - [c51]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI 2019: 2020-2028 - [c50]Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe:
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. AAMAS 2019: 395-403 - [c49]Guillermo Romero Moreno
, Long Tran-Thanh, Markus Brede:
Shielding and Shadowing: A Tale of Two Strategies for Opinion Control in the Voting Dynamics. COMPLEX NETWORKS (1) 2019: 682-693 - [c48]Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich
, Michael J. Wooldridge:
Imitative Follower Deception in Stackelberg Games. EC 2019: 639-657 - [c47]Taha D. Günes
, Long Tran-Thanh, Timothy J. Norman
:
Identifying vulnerabilities in trust and reputation systems. IJCAI 2019: 308-314 - [c46]Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Unifying the Stochastic and the Adversarial Bandits with Knapsack. IJCAI 2019: 3311-3317 - [c45]The Anh Han
, Long Tran-Thanh, Simon Lynch, Theodor Cimpeanu
, Francisco C. Santos:
Promoting Cooperation through External Interference. ALIFE 2019: 331-332 - [c44]Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge:
Manipulating a Learning Defender and Ways to Counteract. NeurIPS 2019: 8272-8281 - [c43]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
Streaming Bayesian Inference for Crowdsourced Classification. NeurIPS 2019: 12762-12772 - [c42]Nhat Van-Quoc Truong, Sebastian Stein
, Long Tran-Thanh, Nicholas R. Jennings
:
What Prize Is Right? How to Learn the Optimal Structure for Crowdsourcing Contests. PRICAI (1) 2019: 85-97 - [c41]Paolo Serafino, Carmine Ventre
, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings
:
Social Cost Guarantees in Smart Route Guidance. PRICAI (2) 2019: 482-495 - [c40]Tin Leelavimolsilp
, Viet Hung Nguyen, Sebastian Stein
, Long Tran-Thanh:
Selfish Mining in Proof-of-Work Blockchain with Multiple Miners: An Empirical Evaluation. PRIMA 2019: 219-234 - [i17]Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, Michael J. Wooldridge:
Imitative Follower Deception in Stackelberg Games. CoRR abs/1903.02917 (2019) - [i16]Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein, Viet Hung Nguyen:
An Empirical Evaluation of Selfish Mining and Strategic Mining in Proof-of-Work Blockchain with Multiple Miners. CoRR abs/1905.06853 (2019) - [i15]Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh:
Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations. CoRR abs/1905.11151 (2019) - [i14]Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge:
Manipulating a Learning Defender and Ways to Counteract. CoRR abs/1905.11759 (2019) - [i13]Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings:
Social Cost Guarantees in Smart Route Guidance. CoRR abs/1906.06617 (2019) - [i12]Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings:
AED: An Anytime Evolutionary DCOP Algorithm. CoRR abs/1909.06254 (2019) - [i11]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
Streaming Bayesian Inference for Crowdsourced Classification. CoRR abs/1911.05712 (2019) - [i10]Minming Li, Long Tran-Thanh, Xiaowei Wu:
Defending with Shared Resources on a Network. CoRR abs/1911.08196 (2019) - 2018
- [j6]Md. Mosaddek Khan, Long Tran-Thanh, Sarvapali D. Ramchurn, Nicholas R. Jennings
:
Speeding Up GDL-Based Message Passing Algorithms for Large-Scale DCOPs. Comput. J. 61(11): 1639-1666 (2018) - [c39]Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe:
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. AIES 2018: 41-47 - [c38]Taha D. Gunes, Long Tran-Thanh, Timothy J. Norman:
Strategic Attacks on Trust Models via Bandit Optimization. TRUST@AAMAS 2018: 87-95 - [c37]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik:
Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS 2018: 892-900 - [c36]Tiep Le, Atena M. Tabakhi, Long Tran-Thanh, William Yeoh, Tran Cao Son:
Preference Elicitation with Interdependency and User Bother Cost. AAMAS 2018: 1459-1467 - [c35]Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings:
A Generic Domain Pruning Technique for GDL-Based DCOP Algorithms in Cooperative Multi-Agent Systems. AAMAS 2018: 1595-1603 - [c34]Md. Mosaddek Khan, Long Tran-Thanh, William Yeoh, Nicholas R. Jennings:
A Near-Optimal Node-to-Agent Mapping Heuristic for GDL-Based DCOP Algorithms in Multi-Agent Systems. AAMAS 2018: 1604-1612 - [c33]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
Inducible Equilibrium for Security Games. AAMAS 2018: 1947-1949 - [c32]Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings:
Adaptive Incentive Selection for Crowdsourcing Contests. AAMAS 2018: 2100-2102 - [c31]The Anh Han
, Simon Lynch, Long Tran-Thanh, Francisco C. Santos
:
Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies. IJCAI 2018: 289-295 - [c30]Zheyuan Ryan Shi
, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang:
Designing the Game to Play: Optimizing Payoff Structure in Security Games. IJCAI 2018: 512-518 - [c29]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
On the Efficiency of Data Collection for Crowdsourced Classification. IJCAI 2018: 1568-1575 - [i9]Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein:
On the Preliminary Investigation of Selfish Mining Strategy with Multiple Selfish Miners. CoRR abs/1802.02218 (2018) - [i8]Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang:
Designing the Game to Play: Optimizing Payoff Structure in Security Games. CoRR abs/1805.01987 (2018) - [i7]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR abs/1811.03823 (2018) - [i6]Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Unifying the stochastic and the adversarial Bandits with Knapsack. CoRR abs/1811.12253 (2018) - 2017
- [j5]Monica Anderson
, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini
, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski
, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli
, Scott Sanner, Arash Shaban-Nejad
, Arunesh Sinha
, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius
, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk
, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [c28]Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings:
The Dollar Auction with Spiteful Players. AAAI 2017: 736-742 - [c27]Taha D. Günes
, Timothy J. Norman
, Long Tran-Thanh:
Budget Limited Trust-Aware Decision Making. AAMAS Workshops (Visionary Papers) 2017: 101-110 - [c26]Qingyu Guo, Bo An, Long Tran-Thanh:
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. IJCAI 2017: 3682-3690 - [c25]Youzhi Zhang
, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings:
Optimal Escape Interdiction on Transportation Networks. IJCAI 2017: 3936-3944 - 2016
- [c24]Haifeng Xu, Long Tran-Thanh, Nicholas R. Jennings:
Playing Repeated Security Games with No Prior Knowledge. AAMAS 2016: 104-112 - [c23]Qingyu Guo, Bo An, Yevgeniy Vorobeychik, Long Tran-Thanh, Jiarui Gan, Chunyan Miao:
Coalitional Security Games. AAMAS 2016: 159-167 - [c22]Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak:
Repeated Dollar Auctions: A Multi-Armed Bandit Approach. AAMAS 2016: 579-587 - [c21]Ngoc Cuong Truong, Tim Baarslag, Sarvapali D. Ramchurn, Long Tran-Thanh:
Interactive Scheduling of Appliance Usage in the Home. IJCAI 2016: 869-877 - [i5]Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings:
Incentive Engineering Framework for Crowdsourcing Systems. CoRR abs/1609.01348 (2016) - [i4]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
Efficiency of active learning for the allocation of workers on crowdsourced classification tasks. CoRR abs/1610.06106 (2016) - 2015
- [c20]Long Tran-Thanh, Trung Dong Huynh, Avi Rosenfeld, Sarvapali D. Ramchurn, Nicholas R. Jennings:
Crowdsourcing Complex Workflows under Budget Constraints. AAAI 2015: 1298-1304 - [c19]The Anh Han, Long Tran-Thanh, Nicholas R. Jennings:
The Cost of Interference in Evolving Multiagent Systems. AAMAS 2015: 1719-1720 - [c18]Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings:
Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. IJCAI 2015: 403-410 - [c17]Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla:
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation. NIPS 2015: 1297-1305 - 2014
- [j4]Long Tran-Thanh, Sebastian Stein
, Alex Rogers, Nicholas R. Jennings
:
Efficient crowdsourcing of unknown experts using bounded multi-armed bandits. Artif. Intell. 214: 89-111 (2014) - [c16]Long Tran-Thanh, Trung Dong Huynh, Avi Rosenfeld, Sarvapali D. Ramchurn, Nicholas R. Jennings:
BudgetFix: budget limited crowdsourcing for interdependent task allocation with quality guarantees. AAMAS 2014: 477-484 - [c15]Victor Naroditskiy, Sebastian Stein, Mirco Tonin, Long Tran-Thanh, Michael Vlassopoulos, Nicholas R. Jennings:
Referral Incentives in Crowdfunding. HCOMP 2014 - [c14]Long Tran-Thanh, Lampros C. Stavrogiannis, Victor Naroditskiy, Valentin Robu, Nicholas R. Jennings, Peter B. Key:
Efficient Regret Bounds for Online Bid Optimisation in Budget-Limited Sponsored Search Auctions. UAI 2014: 809-818 - [i3]Long Tran-Thanh, Jia Yuan Yu:
Functional Bandits. CoRR abs/1405.2432 (2014) - 2013
- [c13]Long Tran-Thanh, Matteo Venanzi, Alex Rogers, Nicholas R. Jennings:
Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks. AAMAS 2013: 901-908 - [c12]Ngoc Cuong Truong, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn:
Towards appliance usage prediction for home energy management. e-Energy 2013: 287-288 - [c11]Long Tran-Thanh, Tri-Dung Nguyen, Talal Rahwan, Alex Rogers, Nicholas R. Jennings:
An Efficient Vector-Based Representation for Coalitional Games. IJCAI 2013: 383-389 - [c10]Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn:
Forecasting Multi-Appliance Usage for Smart Home Energy Management. IJCAI 2013: 2908-2914 - [i2]Sasan Maleki, Long Tran-Thanh, Greg Hines, Talal Rahwan, Alex Rogers:
Bounding the Estimation Error of Sampling-based Shapley Value Approximation With/Without Stratifying. CoRR abs/1306.4265 (2013) - 2012
- [b1]Long Tran-Thanh:
Budget-limited multi-armed bandits. University of Southampton, UK, 2012 - [j3]Long Tran-Thanh, Alex Rogers, Nicholas R. Jennings
:
Long-term information collection with energy harvesting wireless sensors: a multi-armed bandit based approach. Auton. Agents Multi Agent Syst. 25(2): 352-394 (2012) - [c9]Long Tran-Thanh, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings:
Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits. AAAI 2012 - [c8]Ruben Stranders, Long Tran-Thanh, Francesco Maria Delle Fave, Alex Rogers, Nicholas R. Jennings:
DCOPs and bandits: exploration and exploitation in decentralised coordination. AAMAS 2012: 289-296 - [c7]Long Tran-Thanh, Sebastian Stein
, Alex Rogers, Nicholas R. Jennings
:
Efficient Crowdsourcing of Unknown Experts using Multi-Armed Bandits. ECAI 2012: 768-773 - [i1]Long Tran-Thanh, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings:
Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits. CoRR abs/1204.1909 (2012) - 2011
- [c6]Long Tran-Thanh, Maria Polukarov, Archie C. Chapman
, Alex Rogers, Nicholas R. Jennings
:
On the Existence of Pure Strategy Nash Equilibria in Integer-Splittable Weighted Congestion Games. SAGT 2011: 236-253 - 2010
- [j2]Johnsen Kho, Long Tran-Thanh, Alex Rogers, Nicholas R. Jennings
:
An Agent-Based Distributed Coordination Mechanism for Wireless Visual Sensor Nodes Using Dynamic Programming. Comput. J. 53(8): 1277-1290 (2010) - [j1]János Levendovszky
, Long Tran-Thanh, Gergely Treplan, Gábor Kiss:
Fading-aware reliable and energy efficient routing in wireless sensor networks. Comput. Commun. 33(Supplement-1): S102-S109 (2010) - [c5]Long Tran-Thanh, Archie C. Chapman, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings:
Epsilon-First Policies for Budget-Limited Multi-Armed Bandits. AAAI 2010 - [c4]Gábor Kiss, János Levendovszky
, Sándor Molnár
, Long Tran-Thanh:
Delay Characteristics and Server Update Optimization of Multiplayer Gaming in Mobile Environment. ICC 2010: 1-6 - [c3]Long Tran-Thanh, János Levendovszky
:
Optimal Time Dependent Data Collection Schemes in Wireless Sensor Networks. WCNC 2010: 1-6