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ROBOCUP
2005
Springer
134views Robotics» more  ROBOCUP 2005»
14 years 2 months ago
Simultaneous Learning to Acquire Competitive Behaviors in Multi-agent System Based on Modular Learning System
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
Yasutake Takahashi, Kazuhiro Edazawa, Kentarou Nom...
ATAL
2007
Springer
14 years 3 months ago
Auction-based multi-robot task allocation in COMSTAR
Over the past few years, swarm based systems have emerged as an attractive paradigm for building large scale distributed systems composed of numerous independent but coordinating ...
Matthew Hoeing, Prithviraj Dasgupta, Plamen V. Pet...
AGENTS
1999
Springer
14 years 1 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
ICRA
2005
IEEE
106views Robotics» more  ICRA 2005»
14 years 2 months ago
Towards Topological Exploration of Abandoned Mines
— The need for reliable maps of subterranean spaces too hazardous for humans to occupy has motivated the use of robotic technology as mapping tools. As such, we present a systemi...
Aaron Morris, David Silver, David I. Ferguson, Sco...
CEC
2010
IEEE
13 years 10 months ago
Concurrently evolving sensor morphology and control for a hexapod robot
Evolving a robot's sensor morphology along with its control program has the potential to significantly improve its effectiveness in completing the assigned task, plus accommod...
Gary B. Parker, Pramod J. Nathan