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» Using reinforcement learning to adapt an imitation task
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ESANN
2007
13 years 9 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
ICCBR
2010
Springer
13 years 6 months ago
A General Introspective Reasoning Approach to Web Search for Case Adaptation
Abstract. Acquiring adaptation knowledge for case-based reasoning systems is a challenging problem. Such knowledge is typically elicited from domain experts or extracted from the c...
David B. Leake, Jay H. Powell
DEXA
2004
Springer
159views Database» more  DEXA 2004»
13 years 11 months ago
Adaptive Double Routing Indices: Combining Effectiveness and Efficiency in P2P Systems
Unstructured peer-to-peer systems rely on strategies and data structures (Routing Indices) for the routing of requests in the network. For those requests corresponding to informati...
Stéphane Bressan, Achmad Nizar Hidayanto, C...
WOWMOM
2005
ACM
240views Multimedia» more  WOWMOM 2005»
14 years 1 months ago
An Adaptive Routing Protocol for Ad Hoc Peer-to-Peer Networks
Ad hoc networks represent a key factor in the evolution of wireless communications. These networks typically consist of equal nodes that communicate without central control, inter...
Luca Gatani, Giuseppe Lo Re, Salvatore Gaglio
ICMLA
2004
13 years 9 months ago
Emergent representations and reasoning in adaptive agents
Classically, cognition assumes that the underlying mechanisms of thinking are based on symbol manipulation processes. This assumption has several drawbacks, such as the issue of w...
Joost Broekens, Doug DeGroot