Slides - ijcai-11

More documents

Recommendations

Info

Showdown DIVAT • As in (Johanson, 2007), use DIVAT for variance reduction BRIEF ARTICLE • Ignorant Value Assessment THE AUTHOR Tool, developed by Alberta CPRG • Basic idea: evaluate sim(ck,ct), hand based ∀ck ∈ Cj on EV of ck player’s decisions, NOT the outcome (1) cmax = arg max (2) cmax =(xmax,amax) (3) DivatOutcome = EV (ActualActons) − EV (BaselineActions)
Showdown DIVAT • (Un)lucky occurrences affect both an imitator’s strategy and the baseline strategy • What matters is difference in EV • Requires perfect information • Can only apply at showdown • When a fold occurs, actual outcome info is used
Page 1 and 2: On Combining Decisions from Multipl
Page 3 and 4: On Combining Decisions from Multipl
Page 5 and 6: Domain • Two-Player Texas Hold’
Page 7 and 8: How to combine decisions? • Two e
Page 9 and 10: Intransitive Performance Relationsh
Page 11 and 12: Lazy Learners • Particularly suit
Page 13 and 14: BRIEF ARTICLE Expert Imitators BRIE
Page 15 and 16: Decision Policies • Probabilistic
Page 20 and 21: Experimental Results
Page 22 and 23: Methodology • 6 original imitator
Page 24 and 25: Limit Results Approx. Nash Equilibr
Page 26 and 27: No Limit Results MCTS Rules Table 2
Page 28 and 29: Discussion • Hyperborean-max perf
Page 30: The End.

Slides - ijcai-11

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?