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Ryan J. Weber,
an American computer scientist, in the early 2000s affiliated with the University of California, Santa Cruz (UCSC), where he worked with Robert Levinson on pattern-level temporal difference learning, Q-learning, and on chess neighborhood, all applied to the research chess program Morph ^[1].

Selected Publications

^[2]

• Robert Levinson, Ryan Weber (2000). Pattern-Level Temporal Difference-Learning, Data Fusion and Chess. In Sensor Fusion: Architecture, Algorithms, and Applications IV. Orlando, Florida, April 2000
• Robert Levinson, Ryan Weber (2000). Chess Neighborhoods, Function Combination, and Reinforcement Learning. CG 2000, pdf

References

1. ^ Robert Levinson, Ryan Weber (2000). Chess Neighborhoods, Function Combination, and Reinforcement Learning. CG 2000 (Abstract)
2. ^ dblp: Ryan Weber

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