Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

16

ESANN
2006

favoriteEmaildiscussreport

72views Neural Networks» more ESANN 2006»

A multiagent architecture for concurrent reinforcement learning

13 years 5 months ago

A multiagent architecture for concurrent reinforcement learning

Download www.dice.ucl.ac.be

In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions and actions, work towards one only objective: learning a single value function. We present encouraging experimental results derived from the initial phase of our research on the combination of concurrent reinforcement learning and learning from demonstration.

Victor Uc Cetina

Real-time Traffic

Concurrent Reinforcement Learning | ESANN 2006 | ESANN 2007 | Multiagent Architecture | Single Value Function |

claim paper

Related Content

» Scaling Up Multiagent Reinforcement Learning in Complex Domains

» Coordinated Reinforcement Learning

» SelfOrganizing Cognitive Agents and Reinforcement Learning in MultiAgent Environment

» A Multiagent Reinforcement Learning Algorithm with Nonlinear Dynamics

» Cooperative MultiAgent Learning The State of the Art

» Exploiting locality of interactions using a policygradient approach in multiagent learning

» Learning and stabilization of altruistic behaviors in multiagent systems by reciprocity

» Dynamic task allocation within an open serviceoriented MAS architecture

» Multiagent Transfer Learning via AssignmentBased Decomposition

Post Info
More Details (n/a)

Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2006
Where	ESANN
Authors	Victor Uc Cetina

Comments (0)