Planning and Coordination in Multiagent Environments

2016 ◽  
pp. 1-12
Author(s):  
Alejandro Torreño ◽  
Eva Onaindia ◽  
Vicente Botti
Keyword(s):  
Multiagent Environments

scholarly journals A New Improved Penalty Avoiding Rational Policy Making Algorithm for Keepaway with Continuous State Spaces

2009 ◽  
Vol 13 (6) ◽  
pp. 675-682 ◽  
Author(s):  
Takuji Watanabe ◽  
◽  
Kazuteru Miyazaki ◽  
Hiroaki Kobayashi ◽  
◽  
...  
Keyword(s):  
Basis Function ◽  
Function Approximation ◽  
Policy Making ◽  
Basis Functions ◽  
State Spaces ◽  
Soccer Game ◽  
Continuous State ◽  
Current Input ◽  
Multiagent Environments ◽  
Parp 1

The penalty avoiding rational policy making algorithm (PARP) [1] previously improved to save memory and cope with uncertainty, i.e., IPARP [2], requires that states be discretized in real environments with continuous state spaces, using function approximation or some other method. Especially, in PARP, a method that discretizes state using a basis functions is known [3]. Because this creates a new basis function based on the current input and its next observation, however, an unsuitable basis function may be generated in some asynchronous multiagent environments. We therefore propose a uniform basis function and range extent of the basis function is estimated before learning. We show the effectiveness of our proposal using a soccer game task called “Keepaway.”

Object-orientated design of digital library platforms for multiagent environments

2002 ◽  
Vol 14 (2) ◽  
pp. 281-295 ◽  
Author(s):  
A. Nur Zincir-Heywood ◽  
M.I. Heywood ◽  
C.R. Chatwin
Keyword(s):  
Digital Library ◽  
Multiagent Environments
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