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ORCIDHoong Chuin Lau
- > Home > Persons > Hoong Chuin Lau
Publications
- 2019
[j38]Duc Thien Nguyen, William Yeoh
, Hoong Chuin Lau, Roie Zivan:
Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm. J. Artif. Intell. Res. 64: 705-748 (2019)- [c141]Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Multiagent Decision Making For Maritime Traffic Management. AAAI 2019: 6171-6178 - [c137]Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau:
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. IJCAI 2019: 5815-5821 - 2018
- [c133]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Credit Assignment For Collective Multiagent RL With Global Rewards. NeurIPS 2018: 8113-8124 - [i5]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Policy Gradient With Value Function Approximation For Collective Multiagent Planning. CoRR abs/1804.02884 (2018) - 2017
- [c130]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Collective Multiagent Sequential Decision Making Under Uncertainty. AAAI 2017: 3036-3043 - [c123]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Policy Gradient With Value Function Approximation For Collective Multiagent Planning. NIPS 2017: 4319-4329 - 2016
- [c115]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon:
Approximate Inference Using DC Programming For Collective Graphical Models. AISTATS 2016: 685-693 - 2015
- [c98]Duc Thien Nguyen, Hoong Chuin Lau, Akshat Kumar:
Decomposition techniques for urban consolidation problems. CASE 2015: 57-62 - 2014
- [c87]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. AAAI 2014: 1447-1455 - [c86]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs. AAMAS 2014: 1341-1342 - [c84]Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau:
Mechanisms for arranging ride sharing and fare splitting for last-mile travel demands. AAMAS 2014: 1505-1506 - [c82]Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau:
An auction mechanism for the last-mile deliveries via urban consolidation centre. CASE 2014: 607-612 - [c81]Stephanus Daniel Handoko, Duc Thien Nguyen, Zhi Yuan, Hoong Chuin Lau:
Reinforcement learning for adaptive operator selection in memetic search applied to quadratic assignment problem. GECCO (Companion) 2014: 193-194 - [c78]Zhi Yuan, Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau:
An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection. LION 2014: 62-76 - 2013
- [c74]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau:
Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm. AAMAS 2013: 167-174 - 2012
- [c61]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau:
Stochastic dominance in stochastic DCOPs for risk-sensitive applications. AAMAS 2012: 257-264 - [c58]Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau:
A Mechanism for Organizing Last-Mile Service Using Non-dedicated Fleet. IAT 2012: 85-89 - [c54]Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen:
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. UAI 2012: 448-458 - [i1]Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen:
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. CoRR abs/1210.4874 (2012)
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