Revision as of 21:49, 2 October 2018

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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].

Selected Publications

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

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

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

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