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ICML
2007
IEEE
15 years 10 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
83
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ESANN
2006
14 years 11 months ago
A multiagent architecture for concurrent reinforcement learning
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
Victor Uc Cetina
ICAART
2010
INSTICC
15 years 6 months ago
A Reinforcement Learning Approach for Multiagent Navigation
Francisco Martinez-Gil, Fernando Barber, Miguel Lo...
IJAIT
2008
60views more  IJAIT 2008»
14 years 9 months ago
A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
ROBOCUP
2005
Springer
134views Robotics» more  ROBOCUP 2005»
15 years 3 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...