Fan Xie

Affiliations:
  • Google Canada
  • University of Alberta, Edmonton, AB, Canada (former)


According to our database1, Fan Xie authored at least 13 papers between 2008 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2017
A Scalable Approach to Chasing Multiple Moving Targets with Multiple Agents.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
On the Completeness of Best-First Search Variants That Use Random Exploration.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Understanding and Improving Local Exploration for GBFS.
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014
A Comparison of Knowledge-Based GBFS Enhancements and Knowledge-Free Exploration.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Type-Based Exploration with Multiple Search Queues for Satisficing Planning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Adding Local Exploration to Greedy Best-First Search in Satisficing Planning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Better Time Constrained Search via Randomization and Postprocessing.
Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

2012
Planning Via Random Walk-Driven Local Search.
Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

2011
A Local Monte Carlo Tree Search Approach in Deterministic Planning.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Systematic Improvement of Monte-Carlo Tree Search with Self-generated Neural-Networks Controllers.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

2009
To create neuro-controlled game opponent from UCT-created data.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008
To Create Adaptive Game Opponent by Using UCT.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

Game Player Strategy Pattern Recognition and How UCT Algorithms Apply Pre-knowledge of Player's Strategy to Improve Opponent AI.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008


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