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ORCIDLex Weaver
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2010 – 2019
- 2013
[i8]Lex Weaver, Nigel Tao:
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning. CoRR abs/1301.2315 (2013)- 2011
- [i7]Peter L. Bartlett, Jonathan Baxter, Lex Weaver:
Experiments with Infinite-Horizon, Policy-Gradient Estimation. CoRR abs/1106.0666 (2011)
2000 – 2009
- 2001
- [j3]Jonathan Baxter, Peter L. Bartlett, Lex Weaver:
Experiments with Infinite-Horizon, Policy-Gradient Estimation. J. Artif. Intell. Res. 15: 351-381 (2001) - [c3]Nigel Tao, Jonathan Baxter, Lex Weaver:
A Multi-Agent Policy-Gradient Approach to Network Routing. ICML 2001: 553-560 - [c2]Lex Weaver, Nigel Tao:
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning. UAI 2001: 538-545 - 2000
- [j2]Jonathan Baxter, Andrew Tridgell, Lex Weaver:
Learning to Play Chess Using Temporal Differences. Mach. Learn. 40(3): 243-263 (2000) - [i6]Lex Weaver:
Design and Evaluation of Mechanisms for a Multicomputer Object Store. CoRR cs.DC/0004010 (2000) - [i5]Lex Weaver, Andrew Lynes:
Sorting Integers on the AP1000. CoRR cs.DC/0004013 (2000)
1990 – 1999
- 1999
- [i4]Jonathan Baxter, Andrew Tridgell, Lex Weaver:
TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search. CoRR cs.LG/9901001 (1999) - [i3]Jonathan Baxter, Andrew Tridgell, Lex Weaver:
KnightCap: A chess program that learns by combining TD(lambda) with game-tree search. CoRR cs.LG/9901002 (1999) - 1998
- [j1]Jonathan Baxter, Andrew Tridgell, Lex Weaver:
Experiments in Parameter Learning Using Temporal Differences. J. Int. Comput. Games Assoc. 21(2): 84-99 (1998) - [c1]Jonathan Baxter, Andrew Tridgell, Lex Weaver:
KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search. ICML 1998: 28-36 - [i2]Lex Weaver, Chris W. Johnson:
Pre-fetching tree-structured data in distributed memory. CoRR cs.DC/9810002 (1998) - [i1]Lex Weaver, Terry Bossomaier:
Evolution of Neural Networks to Play the Game of Dots-and-Boxes. CoRR cs.NE/9809111 (1998)
Coauthor Index
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