# William Yeoh

According to our database

Collaborative distances:

^{1}, William Yeoh authored at least 77 papers between 2008 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm.

J. Artif. Intell. Res., 2019

A Learning-Based Framework for Memory-Bounded Heuristic Search: First Results.

Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

Generalized Target Assignment and Path Finding Using Answer Set Programming.

Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

Parameterized Heuristics for Incomplete Weighted CSPs with Elicitation Costs.

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments.

ACM TIST, 2018

Distributed Constraint Optimization Problems and Applications: A Survey.

J. Artif. Intell. Res., 2018

Communication-Sensitive Pseudo-Tree Heuristics for DCOP Algorithms.

International Journal on Artificial Intelligence Tools, 2018

Accelerating exact and approximate inference for (distributed) discrete optimization with GPUs.

Constraints, 2018

AI buzzwords explained: distributed constraint optimization problems.

AI Matters, 2018

Decentralized Planning for Non-dedicated Agent Teams with Submodular Rewards in Uncertain Environments.

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Towards Improving the Expressivity and Scalability of Distributed Constraint Optimization Problems.

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search.

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Large Neighboring Search Schema for Multi-agent Optimization.

Proceedings of the Principles and Practice of Constraint Programming, 2018

Multi-Agent Pathfinding with Real-Time Heuristic Search.

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Preference Elicitation with Interdependency and User Bother Cost.

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Near-Optimal Node-to-Agent Mapping Heuristic for GDL-Based DCOP Algorithms in Multi-Agent Systems.

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Bidding Strategy for Periodic Double Auctions Using Monte Carlo Tree Search.

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Inverse Reinforcement Learning Based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction.

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

New Metrics and Algorithms for Stochastic Goal Recognition Design Problems.

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Generalized Target Assignment and Path Finding Using Answer Set Programming.

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Pseudo-Tree Construction Heuristics for DCOPs and Evaluations on the ns-2 Network Simulator.

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Game-Theoretic Goal Recognition Models with Applications to Security Domains.

Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

Preference Elicitation for DCOPs.

Proceedings of the Principles and Practice of Constraint Programming, 2017

A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs.

Proceedings of the Autonomous Agents and Multiagent Systems, 2017

Infinite-Horizon Proactive Dynamic DCOPs.

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Distributed Constraint Optimization (DCOP) Approach to the Economic Dispatch with Demand Response.

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Multiagent System Approach to Scheduling Devices in Smart Homes.

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Multiagent System Approach to Scheduling Devices in Smart Homes.

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

AI's 10 to Watch.

IEEE Intelligent Systems, 2016

Goal Recognition Design with Stochastic Agent Action Outcomes.

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Scalable Greedy Algorithms for Task/Resource Constrained Multi-Agent Stochastic Planning.

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Dynamic Programming-Based MCMC Framework for Solving DCOPs with GPUs.

Proceedings of the Principles and Practice of Constraint Programming, 2016

ER-DCOPs: A Framework for Distributed Constraint Optimization with Uncertainty in Constraint Utilities.

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Proactive Dynamic Distributed Constraint Optimization.

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

On the Use of Off-the-Shelf Machine Learning Techniques to Predict Energy Demands of Power TAC Consumers.

Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2016

Investigation of Learning Strategies for the SPOT Broker in Power TAC.

Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2016

Solving Goal Recognition Design Using ASP.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Solving Risk-Sensitive POMDPs With and Without Cost Observations.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Proactive Dynamic DCOPs.

Proceedings of the AI for Smart Grids and Smart Buildings, 2016

Multi-Variable Agents Decomposition for DCOPs.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence.

AI Magazine, 2015

Incremental DCOP Search Algorithms for Solving Dynamic DCOP Problems.

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Exploiting GPUs in Solving (Distributed) Constraint Optimization Problems with Dynamic Programming.

Proceedings of the Principles and Practice of Constraint Programming, 2015

Large Neighborhood Search with Quality Guarantees for Distributed Constraint Optimization Problems.

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Multi-Variable Agents Decomposition for DCOPs to Exploit Multi-Level Parallelism.

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Solving Distributed Constraint Optimization Problems Using Logic Programming.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Improving DPOP with Branch Consistency for Solving Distributed Constraint Optimization Problems.

Proceedings of the Principles and Practice of Constraint Programming, 2014

Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs.

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

ASP-DPOP: solving distributed constraint optimization problems with logic programming.

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

GD-GIBBS: a GPU-based sampling algorithm for solving distributed constraint optimization problems.

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Revisiting Risk-Sensitive MDPs: New Algorithms and Results.

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs.

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints.

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Solving Uncertain MDPs by Reusing State Information and Plans.

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Automated Generation of Interaction Graphs for Value-Factored Dec-POMDPs.

Proceedings of the IJCAI 2013, 2013

Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm.

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Budgeted Personalized Incentive Approaches for Smoothing Congestion in Resource Networks.

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

2012

Distributed Problem Solving.

AI Magazine, 2012

Dynamic Stochastic Orienteering Problems for Risk-Aware Applications.

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Lagrangian Relaxation for Large-Scale Multi-agent Planning.

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Incremental ARA*: An Incremental Anytime Search Algorithm for Moving-Target Search.

Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

Prioritized shaping of models for solving DEC-POMDPs.

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Stochastic dominance in stochastic DCOPs for risk-sensitive applications.

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Lagrangian relaxation for large-scale multi-agent planning.

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

Generalizing ADOPT and BnB-ADOPT.

Proceedings of the IJCAI 2011, 2011

Incremental DCOP search algorithms for solving dynamic DCOPs.

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010

Generalized Fringe-Retrieving A*: faster moving target search on state lattices.

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Moving target D* Lite.

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

Trading Off Solution Quality for Faster Computation in DCOP Search Algorithms.

Proceedings of the IJCAI 2009, 2009

Efficient Incremental Search for Moving Target Search.

Proceedings of the IJCAI 2009, 2009

Caching schemes for DCOP search algorithms.

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Dynamic fringe-saving A*.

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Simple optimization techniques for A*-based search.

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008

IDB-ADOPT: A Depth-First Search DCOP Algorithm.

Proceedings of the Recent Advances in Constraints, 2008

Trading off solution cost for smaller runtime in DCOP search algorithms.

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

BnB-ADOPT: an asynchronous branch-and-bound DCOP algorithm.

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Generalized Adaptive A*.

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008