'Evaluation functions' presentation slideshows

This time: Outline

682 views • 57 slides

Problem Solving Using Search

Reduce a problem to one of searching a graph . View problem solving as a process of moving through a sequence of problem states to reach a goal state Move from one state to another by taking an action A sequence of actions and states leading to a goal state is a solution to the problem.

574 views • 57 slides

Deep Blue Architecture

Deep Blue Architecture Murthy Ganapathibhotla Agenda Introduction Overview of Deep Blue Architecture Conclusion INTRODUCTION INTRODUCTION What is Deep Blue ? What is a Chess Computer ? How are Moves Computed ? History of Deep Blue. Introduction

1.26k views • 51 slides

Deep Blue Architecture

Deep Blue Architecture. Murthy Ganapathibhotla. Agenda. Introduction Overview of Deep Blue Architecture Conclusion. INTRODUCTION. INTRODUCTION. What is Deep Blue ? What is a Chess Computer ? How are Moves Computed ? History of Deep Blue. Introduction .

1.29k views • 51 slides

Design of Evaluation Functions using Neural Networks in the Game of Go

Design of Evaluation Functions using Neural Networks in the Game of Go. Presentation and translation: Hashimoto Tsuyoshi Authors: Hiroyuki Nagayoshi, Masaru Todoroki Department of Quantum Engineering and System Science,School of Engineering, The University of Tokyo. Background.

356 views • 25 slides

Design of Evaluation Functions using Neural Networks in the Game of Go

Design of Evaluation Functions using Neural Networks in the Game of Go. Presentation and translation: Hashimoto Tsuyoshi Authors: Hiroyuki Nagayoshi, Masaru Todoroki Department of Quantum Engineering and System Science,School of Engineering, The University of Tokyo. Background.

255 views • 25 slides

Incomplete Search

General Game Playing Lecture 4. Incomplete Search. Michael Genesereth Spring 2012. Evaluation Functions. Complete search is usually impractical.

288 views • 20 slides

administrivia

administrivia. Exam format – take home, open book Suicide rule for King’s court. Illegal moves cannot move last piece from court. OK. Focusing Game Search. improvements on Minimax. Minimax in large state space. maximization. minimization. heuristic evaluation from viewpoint of Max.

261 views • 17 slides

Reinforcement learning

347 views • 16 slides

Game-playing AIs Part 1

Game-playing AIs Part 1. CIS 391 Fall 2007. Games: Outline of Unit. Part I (this set of slides) Motivation Game Trees Evaluation Functions Part II The Minimax Rule Alpha-Beta Pruning Game-playing AI successes. Motivation. Games are a form of multi-agent environment

162 views • 16 slides

For Monday

For Monday. Read chapter 7, sections 1-4 Homework: Chapter 4, exercise 1 Chapter 5, exercise 9. Program 1. Any questions?. Making Imperfect Decisions. Generating the complete game tree is intractable for most games Alternative: Cut off search

274 views • 15 slides

Challenges of Playing Bridge Well

Challenges of Playing Bridge Well. http://www.ny-bridge.com/allevy/Montreal/indexMenton.html Bridge requires a lot of real-time decision making in uncertain environments.

165 views • 3 slides