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» Reinforcement learning in a nutshell
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PRICAI
2000
Springer
14 years 1 months ago
Constructing an Autonomous Agent with an Interdependent Heuristics
When we construct an agent by integrating modules, there appear troubles concerning the autonomy of the agent if we introduce a heuristics that dominates the whole agent. Thus, we ...
Koichi Moriyama, Masayuki Numao
AAAI
2010
13 years 11 months ago
Relative Entropy Policy Search
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
Jan Peters, Katharina Mülling, Yasemin Altun
ICAC
2009
IEEE
13 years 8 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
COGSR
2010
149views more  COGSR 2010»
13 years 5 months ago
Cognitive concepts in autonomous soccer playing robots
Computational concepts of cognition, their implementation in complex autonomous systems, and their empirical evaluation are key techniques to understand and validate concepts of c...
Martin Lauer, Roland Hafner, Sascha Lange, Martin ...
SIGIR
2003
ACM
14 years 3 months ago
ReCoM: reinforcement clustering of multi-type interrelated data objects
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
Jidong Wang, Hua-Jun Zeng, Zheng Chen, Hongjun Lu,...