Login
Logging in...
Remember me
Log in
Forgot password or user name?
Log in with
Search in titles only
Search in Agents only
Search
Advanced Search
Home
Publications
Soar-ums
Research Community
Knowledge Base
Downloads
Github
Support
Soar
Files
Agents
Welcome to the Soar home page!
Note that you do not need to register to use this site. User accounts are currently disabled.
Announcement
Collapse
No announcement yet.
Eaters (Jump and Move)
Collapse
Created by:
Soar
Published: 10-06-2014, 10:24 PM
181 views
0 comments
Share
Tweet
X
Collapse
Eaters (Jump and Move)
An eaters agent that both moves and jumps to squares based on the number of points it gains from entering that square minus the number of points it loses for moving (0 for moving, -5 for jump).
Soar capabilities
Basic PSCM functions: State Elaboration, Operator Proposal, Operator Evaluation, Internal Operator Application
Download Links
This agent is packaged with the Eaters environment.
External Environment
Eaters
Default Rules
None.
Associated Publications
The Soar Tutorial: Chapter 2
Developer
John Laird
Soar Versions
Soar 8,9
Project Type
Plain text
Posting comments is disabled.
Download Categories
Collapse
Soar
Agents
Agent Development Tools
Domains
Examples and Unsupported
Files
Collapse
15-puzzle
8-Puzzle
Algebra Solver
Arithmetic
Arithmetic (with Semantic Memory)
Blocks-World (Hierarchical Look-Ahead)
Blocks-World (Hierarchical)
Blocks-World (Look-Ahead with RL)
Blocks-World (Look-Ahead)
Blocks-World (Reinforcement Learning)
Blocks-World (Simple)
Blocks-World (Subgoaling with RL)
Blocks-World (Subgoaling)
Counting Agent
Eaters (Advanced Move)
Eaters (Hello World Operator)
Eaters (Hello World Rule)
Eaters (Jump and Move)
Eaters (Jump)
Eaters (Move North 2)
Eaters (Move North)
Eaters (Move To Food)
Eaters (Move)
Eaters (Semantic Error Example)
Eaters (Syntax Error Example)
Episodic Memory Counting Agent
Episodic Memory Tutorial Agent
Graph Search
Graph Search (with Semantic Memory)
Infinite Mario RL
Knowledge Base Agent
Left-Right Reinforcement Learning Agent
Missionaries and Cannibals (Planning)
Missionaries and Cannibals (Simple)
Reinforcement Learning Unit Test
Semantic Memory Tutorial Agent
Soar 7 Agents
TankSoar (Mapping)
TankSoar (Obscure Bot)
TankSoar (Simple Sound)
TankSoar (Simple)
TankSoar (Wander)
Taxi (Hierarchical Reinforcement Learning)
Taxi (Reinforcement Learning)
TextIO Example
Tower of Hanoi (Recursive)
Tower of Hanoi (Simple)
Water Jug (Hierarchical Task Decomposition)
Water Jug (Look-Ahead with State Evaluation)
Water Jug (Look-Ahead)
Water Jug (Reinforcement Learning)
Water Jug (Simple)
likler.com
bonus veren siteler
deneme bonusu veren siteler
deneme bonusu
deneme bonusu veren siteler
maltepe escort
umraniye escort
atasehir escort
anadolu yakasi escort
pendik escort
blackjack siteleri
Gia DiMarco Anal HD 1080p Porn
Lover Sensual Fuck Ass Hole Sexy Girl until Cum in Ass
bodrum escort
hd porno
escort
escort antalya
escort sisli
halkali escort
yok
sikis
deneme bonusu veren siteler
deneme bonusu veren siteler
deneme bonusu veren siteler
deneme bonusu veren siteler
zlibrary books download
naked ai
deneme bonusu
Breathtaking fuck makes horny sluts reach orgasms
emily grey manyvids
please screw my wife anal
Working...
Yes
No
OK
OK
Cancel
X