Christopher D. Rosin

Home * People * Christopher D. Rosin



Christopher Darrell (Chris) Rosin, an American computer scientist working in the fields of machine learning and medical monitoring, as well as computer Go programmer. He defended his Ph.D. in 1997 at University of California, San Diego on the topic of genetic algorithms.

=PUCT= As author of the Go playing program Greenpeep, Chris Rosin devised an improvement of UCT dubbed PUCT, as implemented in his program, the idea further published and elaborated in Multi-armed bandits with episode context. PUCT modifies the original UCB1 multi-armed bandit policy by approximately predicting good arms at the start of a sequence of multi-armed bandit trials ('Predictor' + UCB = PUCB). A variation of PUCT was used in the AlphaGo and AlphaZero projects, and subsequently also in Leela Zero and Leela Chess Zero.

=Selected Publications=

1995 ...

 * Christopher D. Rosin, Richard K. Belew (1995). Methods for Competitive Co-Evolution: Finding Opponents Worth Beating. ICGA 1995, CiteSeerX
 * Christopher D. Rosin, Richard K. Belew (1996). A Competitive Approach in Game Learning. COLT 1996, pdf
 * Christopher D. Rosin (1997). Coevolutionary Search Among Adversaries. Ph.D. thesis, University of California, San Diego, CiteSeerX

2000 ...

 * Christopher D. Rosin (2000). Sample Complexity of Model-Based Search. Journal of Computer and System Sciences, Vol. 60, No. 2

2010 ...

 * Christopher D. Rosin (2011). Multi-armed bandits with episode context. Annals of Mathematics and Artificial Intelligence, Vol. 61, No. 3, ISAIM 2010 pdf
 * Christopher D. Rosin (2011).  Nested Rollout Policy Adaptation for Monte Carlo Tree Search. IJCAI 2011, pdf
 * Christopher D. Rosin (2014). Game playing. WIREs Cognitive Science, Vol. 5, pdf preprint

=External Links=
 * Chris Rosin
 * Greenpeep, a Computer Go Program

=References= Up one level