Difference between revisions of "Lex Weaver"
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==1997 ...== | ==1997 ...== | ||
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1997'''). ''Knightcap: A chess program that learns by combining td(λ) with minimax search''. 15th International Conference on Machine Learning, [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.54.8263&rep=rep1&type=pdf pdf] via [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.8263 citeseerX] | * [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1997'''). ''Knightcap: A chess program that learns by combining td(λ) with minimax search''. 15th International Conference on Machine Learning, [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.54.8263&rep=rep1&type=pdf pdf] via [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.8263 citeseerX] | ||
| + | * [[Lex Weaver]], [https://bjbs.csu.edu.au/schools/computing-and-mathematics/staff/profiles/professorial-staff/terry-bossomaier Terry Bossomaier] ('''1998'''). ''Evolution of Neural Networks to Play the Game of Dots-and-Boxes''. [https://arxiv.org/abs/cs/9809111 arXiv:cs/9809111] | ||
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1998'''). ''Experiments in Parameter Learning Using Temporal Differences''. [[ICGA Journal#21_2|ICCA Journal, Vol. 21, No. 2]] | * [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1998'''). ''Experiments in Parameter Learning Using Temporal Differences''. [[ICGA Journal#21_2|ICCA Journal, Vol. 21, No. 2]] | ||
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1999'''). ''TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search''. [https://www.chatbots.org/journal/australian_journal_of_intelligent_information_processing_systems/ Australian Journal of Intelligent Information Processing Systems], Vol. 5 No. 1, [http://arxiv.org/abs/cs/9901001 arXiv:cs/9901001] | * [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1999'''). ''TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search''. [https://www.chatbots.org/journal/australian_journal_of_intelligent_information_processing_systems/ Australian Journal of Intelligent Information Processing Systems], Vol. 5 No. 1, [http://arxiv.org/abs/cs/9901001 arXiv:cs/9901001] | ||
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* [[Lex Weaver]], [[Jonathan Baxter]] ('''2001'''). ''STD (λ): learning state differences with TD (λ)''. [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.7737 CiteSeerX] | * [[Lex Weaver]], [[Jonathan Baxter]] ('''2001'''). ''STD (λ): learning state differences with TD (λ)''. [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.7737 CiteSeerX] | ||
==2010 ...== | ==2010 ...== | ||
| − | * [[Peter Bartlett]], [[Jonathan Baxter]], [[Lex Weaver]] ('''2011'''). ''Experiments with Infinite-Horizon, Policy-Gradient Estimation''. [https://arxiv.org/abs/1106.0666 arXiv:1106.0666] | + | * [[Mathematician#PBartlett|Peter Bartlett]], [[Jonathan Baxter]], [[Lex Weaver]] ('''2011'''). ''Experiments with Infinite-Horizon, Policy-Gradient Estimation''. [https://arxiv.org/abs/1106.0666 arXiv:1106.0666] |
* [[Lex Weaver]], [https://dblp.uni-trier.de/pers/hd/t/Tao:Nigel Nigel Tao] ('''2013'''). ''The Optimal Reward Baseline for Gradient-Based Reinforcement Learning''. [https://arxiv.org/abs/1301.2315 arXiv:1301.2315] | * [[Lex Weaver]], [https://dblp.uni-trier.de/pers/hd/t/Tao:Nigel Nigel Tao] ('''2013'''). ''The Optimal Reward Baseline for Gradient-Based Reinforcement Learning''. [https://arxiv.org/abs/1301.2315 arXiv:1301.2315] | ||
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'''[[People|Up one level]]''' | '''[[People|Up one level]]''' | ||
| + | [[Category:Chess Programmer|Weaver]] | ||
Latest revision as of 22:41, 23 May 2019
Lex Weaver,
an Australian computer scientist, since 2004 manager at the Australian Government, and before lecturer in the Department of Computer Science at the Australian National University, Canberra, Australia, where he already defended his B.Sc. and Ph.D. degrees in 1994 and 2003 respectively [1]. Lex Weaver researched on machine learning and in particular Temporal Difference Learning, and co-authored of the chess program KnightCap along with Jonathan Baxter and Andrew Tridgell [2].
Contents
Selected Publications
1997 ...
- Jonathan Baxter, Andrew Tridgell, Lex Weaver (1997). Knightcap: A chess program that learns by combining td(λ) with minimax search. 15th International Conference on Machine Learning, pdf via citeseerX
- Lex Weaver, Terry Bossomaier (1998). Evolution of Neural Networks to Play the Game of Dots-and-Boxes. arXiv:cs/9809111
- Jonathan Baxter, Andrew Tridgell, Lex Weaver (1998). Experiments in Parameter Learning Using Temporal Differences. ICCA Journal, Vol. 21, No. 2
- Jonathan Baxter, Andrew Tridgell, Lex Weaver (1999). TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search. Australian Journal of Intelligent Information Processing Systems, Vol. 5 No. 1, arXiv:cs/9901001
- Jonathan Baxter, Andrew Tridgell, Lex Weaver (1999). KnightCap: A chess program that learns by combining TD(lambda) with game-tree search. arXiv:cs/9901002
2000 ...
- Jonathan Baxter, Andrew Tridgell, Lex Weaver (2000). Learning to Play Chess Using Temporal Differences. Machine Learning, Vol 40, No. 3, pdf
- Lex Weaver, Jonathan Baxter (2001). STD (λ): learning state differences with TD (λ). CiteSeerX
2010 ...
- Peter Bartlett, Jonathan Baxter, Lex Weaver (2011). Experiments with Infinite-Horizon, Policy-Gradient Estimation. arXiv:1106.0666
- Lex Weaver, Nigel Tao (2013). The Optimal Reward Baseline for Gradient-Based Reinforcement Learning. arXiv:1301.2315
External Links
- Lex Weaver | LinkedIn
- ex Weaver (born June 7, 1970), Australian educator, Computer scientist | Prabook
- Lex Weaver - Google Scholar Citations
