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Hoong Chuin Lau

10 papers · 2013–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Bronze
🧬 Topic Evolution πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze

Venues

IJCAI (6) NeurIPS (2) AAAI (1) AISTATS (1)

Top co-authors

Akshat Kumar (5) Duc Thien Nguyen (4) Shih-Fen Cheng (2) Waldy Joe (1) Shengming Wang (1) Daniel Sheldon (1) Bing Tian Dai (1) Binbin Huang (1) Archan Misra (1) Thien Nguyen (1)

Research topics

Artificial Intelligence (6) Reinforcement Learning (5) Core AI (5) Methods (5) Machine Learning (4) Learning Types Β· Machine Learning (2) Optimization & Theory (2) Deep Learning (1) Mathematics & Optimization (1) Bayesian & Probabilistic (1) Learning Types Β· Deep Learning (1) Optimization (1)

Keywords

policy gradient (3) reinforcement learning (2) value function approximation (2) multi-agent system (2) multi-agent reinforcement learning (2) mixed integer programming (1) collision avoidance (1) graphical model (1) long short-term memory (1) credit assignment (1) traffic management (1) deep deterministic policy gradient (1) constraint programming (1) decentralized pomdp (1) sample average approximation (1) maritime safety (1) vessel scheduling (1) resource constrained scheduling (1) maritime traffic (1) vessel navigation (1)

Papers

Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches – A Systematic Solution for Harbor Tugs IJCAI 2024 Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning IJCAI 2023 Decision Making for Improving Maritime Traffic Safety Using Constraint Programming IJCAI 2019 Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty IJCAI 2019 Multiagent Decision Making For Maritime Traffic Management AAAI 2019 Credit Assignment For Collective Multiagent RL With Global Rewards NeurIPS 2018 Policy Gradient With Value Function Approximation For Collective Multiagent Planning NeurIPS 2017 Approximate Inference Using DC Programming For Collective Graphical Models AISTATS 2016 Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties IJCAI 2015 A Multi-Objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning IJCAI 2013