cs344m autonomous multiagent systems
play

CS344M Autonomous Multiagent Systems Todd Hester Department of - PowerPoint PPT Presentation

CS344M Autonomous Multiagent Systems Todd Hester Department of Computer Science The University of Texas at Austin Good Afternoon, Colleagues Are there any questions? Todd Hester Logistics Next weeks readings up Todd Hester Logistics


  1. CS344M Autonomous Multiagent Systems Todd Hester Department of Computer Science The University of Texas at Austin

  2. Good Afternoon, Colleagues Are there any questions? Todd Hester

  3. Logistics • Next week’s readings up Todd Hester

  4. Logistics • Next week’s readings up • Progress reports due in 1 week Todd Hester

  5. T-tests • Student’s T-test history Todd Hester

  6. T-tests • Student’s T-test history • Paired T-test Todd Hester

  7. T-tests • Student’s T-test history • Paired T-test • Pair tests from both distributions Todd Hester

  8. T-tests • Student’s T-test history • Paired T-test • Pair tests from both distributions • Some reason to pair them... not just random Todd Hester

  9. T-tests • Student’s T-test history • Paired T-test • Pair tests from both distributions • Some reason to pair them... not just random • Individuals before and after (pair indviduals) Todd Hester

  10. T-tests • Student’s T-test history • Paired T-test • Pair tests from both distributions • Some reason to pair them... not just random • Individuals before and after (pair indviduals) • Playing different opponents (pair games vs same opponent) Todd Hester

  11. T-tests • Student’s T-test history • Paired T-test • Pair tests from both distributions • Some reason to pair them... not just random • Individuals before and after (pair indviduals) • Playing different opponents (pair games vs same opponent) • P-value: Probability of this test result given null hypothesis is true Todd Hester

  12. T-tests • Student’s T-test history • Paired T-test • Pair tests from both distributions • Some reason to pair them... not just random • Individuals before and after (pair indviduals) • Playing different opponents (pair games vs same opponent) • P-value: Probability of this test result given null hypothesis is true Todd Hester

  13. T-test vs. Paired T-test • Is the right half of the class or the left half taller? Todd Hester

  14. T-test vs. Paired T-test • Is the right half of the class or the left half taller? • Did you weigh less after the class than before? Todd Hester

  15. T-test vs. Paired T-test • Is the right half of the class or the left half taller? • Did you weigh less after the class than before? • Who’s better at tetris? Todd Hester

  16. T-test vs. Paired T-test • Is the right half of the class or the left half taller? • Did you weigh less after the class than before? • Who’s better at tetris? • Who’s better at video games in general? Todd Hester

  17. T-test vs. Paired T-test • Test: Your team better than UvA? Todd Hester

  18. T-test vs. Paired T-test • Test: Your team better than UvA? • Test: Your team better than UvA when playing Brainstormers? Todd Hester

  19. T-test vs. Paired T-test • Test: Your team better than UvA? • Test: Your team better than UvA when playing Brainstormers? • Test: Your team better than UvA vs. a set of 20 opponents? Todd Hester

  20. T-test vs. Paired T-test • Test: Your team better than UvA? • Test: Your team better than UvA when playing Brainstormers? • Test: Your team better than UvA vs. a set of 20 opponents? • What if neither is significant? Todd Hester

  21. T-test vs. Paired T-test • Test: Your team better than UvA? • Test: Your team better than UvA when playing Brainstormers? • Test: Your team better than UvA vs. a set of 20 opponents? • What if neither is significant? • Can you run multiple times until you get a significant result? Todd Hester

  22. Other testing concepts • When use a chi-squared test? Todd Hester

  23. Other testing concepts • When use a chi-squared test? • Discrete data classes (no such thing as a mean) Todd Hester

  24. Other testing concepts • When use a chi-squared test? • Discrete data classes (no such thing as a mean) • Is the number of wins/ties/losses different vs. UvA than in self play? Todd Hester

  25. Examples from your projects • Student’s t-test? Todd Hester

  26. Examples from your projects • Student’s t-test? • Paired t-test? Todd Hester

  27. Examples from your projects • Student’s t-test? • Paired t-test? • Chi-squared test? Todd Hester

  28. Mixed strategy equilibrium P❧❛②❡r ✷ ❆❝t✐♦♥ ✶ ❆❝t✐♦♥ ✷ ❆❝t✐♦♥ ✶ ✸✱✼ ✷✱✷ P❧❛②❡r ✶ ❆❝t✐♦♥ ✷ ✻✱✺ ✶✱✼ Todd Hester

  29. Mixed strategy equilibrium P❧❛②❡r ✷ ❆❝t✐♦♥ ✶ ❆❝t✐♦♥ ✷ ❆❝t✐♦♥ ✶ ✸✱✼ ✷✱✷ P❧❛②❡r ✶ ❆❝t✐♦♥ ✷ ✻✱✺ ✶✱✼ • What if player 2 picks action 1 1/4 of the time? Todd Hester

  30. Mixed strategy equilibrium P❧❛②❡r ✷ ❆❝t✐♦♥ ✶ ❆❝t✐♦♥ ✷ ❆❝t✐♦♥ ✶ ✸✱✼ ✷✱✷ P❧❛②❡r ✶ ❆❝t✐♦♥ ✷ ✻✱✺ ✶✱✼ • What if player 2 picks action 1 1/4 of the time? 2.25, 2.25 Todd Hester

  31. Mixed strategy equilibrium P❧❛②❡r ✷ ❆❝t✐♦♥ ✶ ❆❝t✐♦♥ ✷ ❆❝t✐♦♥ ✶ ✸✱✼ ✷✱✷ P❧❛②❡r ✶ ❆❝t✐♦♥ ✷ ✻✱✺ ✶✱✼ • What if player 2 picks action 1 1/4 of the time? 2.25, 2.25 • Player 1 must be indifferent between actions 1 and 2 Todd Hester

  32. Mixed strategy equilibrium P❧❛②❡r ✷ ❆❝t✐♦♥ ✶ ❆❝t✐♦♥ ✷ ❆❝t✐♦♥ ✶ ✸✱✼ ✷✱✷ P❧❛②❡r ✶ ❆❝t✐♦♥ ✷ ✻✱✺ ✶✱✼ • What if player 2 picks action 1 1/4 of the time? 2.25, 2.25 • Player 1 must be indifferent between actions 1 and 2 q = 1/4 Todd Hester

  33. Mixed strategy equilibrium P❧❛②❡r ✷ ❆❝t✐♦♥ ✶ ❆❝t✐♦♥ ✷ ❆❝t✐♦♥ ✶ ✸✱✼ ✷✱✷ P❧❛②❡r ✶ ❆❝t✐♦♥ ✷ ✻✱✺ ✶✱✼ • What if player 2 picks action 1 1/4 of the time? 2.25, 2.25 • Player 1 must be indifferent between actions 1 and 2 q = 1/4 • Player 2 must be indifferent between actions 1 and 2 Todd Hester

  34. Mixed strategy equilibrium P❧❛②❡r ✷ ❆❝t✐♦♥ ✶ ❆❝t✐♦♥ ✷ ❆❝t✐♦♥ ✶ ✸✱✼ ✷✱✷ P❧❛②❡r ✶ ❆❝t✐♦♥ ✷ ✻✱✺ ✶✱✼ • What if player 2 picks action 1 1/4 of the time? 2.25, 2.25 • Player 1 must be indifferent between actions 1 and 2 q = 1/4 • Player 2 must be indifferent between actions 1 and 2 p = 2/7 Todd Hester

  35. Correlated Equilibria Todd Hester

  36. Correlated Equilibria Sometimes mixing isn’t enough: Bach/Stravinsky ❲✐❢❡ ❙ ❇ ❙ ✷✱✶ ✵✱✵ ▼❡ ❇ ✵✱✵ ✶✱✷ Want only S,S or B,B - 50% each Todd Hester

  37. Focal points • We will both be in Paris for some time in June. • We both know that we will both be there on the 15th. Todd Hester

  38. Focal points • We will both be in Paris for some time in June. • We both know that we will both be there on the 15th. • Something happens so that we must meet on that day • We have no way of getting in touch. Todd Hester

  39. Focal points • We will both be in Paris for some time in June. • We both know that we will both be there on the 15th. • Something happens so that we must meet on that day • We have no way of getting in touch. • When and where? Todd Hester

  40. Focal points • We will both be in Paris for some time in June. • We both know that we will both be there on the 15th. • Something happens so that we must meet on that day • We have no way of getting in touch. • When and where? • What are the Nash equilibria? Todd Hester

  41. Focal points • We will both be in Paris for some time in June. • We both know that we will both be there on the 15th. • Something happens so that we must meet on that day • We have no way of getting in touch. • When and where? • What are the Nash equilibria? • Where would you meet in Austin? Todd Hester

  42. Focal points • We will both be in Paris for some time in June. • We both know that we will both be there on the 15th. • Something happens so that we must meet on that day • We have no way of getting in touch. • When and where? • What are the Nash equilibria? • Where would you meet in Austin? New York City? Todd Hester

  43. Incomplete Information Games • We each get one of 3 cards: 1,2,3 • If we both fold, we both lose nothing • If one raises and one folds, the raiser gets 1 • If both raise, the one with the higher card gets 5 • Zero sum Todd Hester

  44. Incomplete Information Games • We each get one of 3 cards: 1,2,3 • If we both fold, we both lose nothing • If one raises and one folds, the raiser gets 1 • If both raise, the one with the higher card gets 5 • Zero sum ❈❛r❞ ❄ ❘ ❋ ❘ ✺✱✲✺ ✶✱✲✶ ❈❛r❞ ✸ ❋ ✲✶✱✶ ✵✱✵ Todd Hester

  45. Incomplete Information Games ❈❛r❞ ❄ ❘ ❋ ❘ ✺✱✲✺ ✶✱✲✶ ❈❛r❞ ✸ ❋ ✲✶✱✶ ✵✱✵ Todd Hester

  46. Incomplete Information Games ❈❛r❞ ❄ ❘ ❋ ❘ ✺✱✲✺ ✶✱✲✶ ❈❛r❞ ✸ ❋ ✲✶✱✶ ✵✱✵ ❈❛r❞ ❄ ❘ ❋ ❘ ✲✺✱✺ ✶✱✲✶ ❈❛r❞ ✶ ❋ ✲✶✱✶ ✵✱✵ Todd Hester

  47. Bayes-Nash Equilibrium • 3 ⇒ raise Todd Hester

Recommend


More recommend